<h3>About the Company</h3><p>Logos is a purpose-driven tech company dedicated to building technology solutions that equip the church to grow in the light of the Bible. Our team is committed to increasing biblical literacy and accessibility for every Christian around the world. We do so by delivering value along three fronts: software tools, community collaboration, and rich digital content. Based in Bellingham, Washington, Logos also has operations in Chandler, Arizona and Puebla, Mexico.</p><h3>About the Role</h3><p>We're looking for a Data Scientist to join our Analytics team, reporting to the Director of Analytics and Data Science. You'll work as a peer to our Staff Data Scientist, jointly owning the data science function at Logos—predictive modeling, experimentation, and the recommendations work that shapes how hundreds of thousands of customers discover and use our products.</p><p>This is a role with real ownership. You will decide how to approach problems, what methods fit, and—just as importantly—what isn't worth doing. We're a lean team inside a company in the middle of a significant data transformation, which means the work is broad and the impact is visible, but it also means we need someone who brings their own judgment rather than waiting for direction.</p><p>We're results-driven, not academic. A model or analysis is only good if it measurably reduces churn, increases usage, or drives revenue. Methodological elegance that doesn't move a business metric isn't a win here.</p><h3>Responsibilities</h3><ul><li>Own data science projects end to end—problem framing, method selection, modeling, validation, and presenting results to the leaders who will act on them.</li><li>Ship data science work as certified, production-ready data products: models, scores, and features that other teams can trust and build on.</li><li>Design, run, and interpret experiments, including hypothesis formulation, sizing, and honest reads on inconclusive results.</li><li>Build and maintain predictive models and analytical pipelines in Python or R, SQL, and dbt on Databricks.</li><li>Help set the data science roadmap alongside the Staff Data Scientist and the Director, including pushing back when a request won't produce value.</li><li>Partner with Data Champions, the embedded analysts distributed across our business teams, so that data science output gets adopted rather than just delivered.</li><li>Work with the Data Platform team to validate data quality and the reliability of upstream data products.</li><li>Mentor analysts and less experienced team members, and contribute to code review and team standards.</li><li>Keep documentation and reproducible code current enough that a colleague could pick up your work without you in the room.</li></ul><h3>Requirements</h3><ul><li>4–7 years of professional experience in data science, applied statistics, or a closely related quantitative field.</li><li>A track record of owning projects independently, from ambiguous ask through delivered result, without daily oversight.</li><li>A results-driven mindset: you judge your own work by measurable business impact—churn, usage, revenue—and you can tell when a model isn't earning its keep.</li><li>Strong SQL and fluency in Python or R.</li><li>Solid grounding in statistics and experimental design, including knowing the limits of what a given test can tell you.</li><li>The judgment to prioritize: deciding what to work on, what to defer, and what to decline.</li><li>Excellent communication skills, with the ability to explain technical work to non-technical audiences and to hold your position when the data supports it.</li></ul><h3>Preferred Requirements</h3><ul><li>Experience as the only data scientist—or one of very few—on a team, where you had to operate without a technical safety net.</li><li>Hands-on experience with Databricks and dbt.</li><li>Exposure to production ML systems, recommendation engines, or MLOps practices.</li><li>Experience in a subscription or SaaS business, particularly around churn, retention, and usage analytics.</li><li>Familiarity with a data mesh or distributed analytics operating model.</li></ul><h3>Why This Role</h3><p>Data science at Logos is small, which means your work is not one input among dozens—it is the data science capability of the company. You'll have latitude to shape how the function operates, a Staff Data Scientist to think alongside, and a Director who will back your judgment. As the team and the company's data maturity grow, so does the scope available to you.</p><h3>Benefits</h3><ul><li>Competitive family medical, dental, vision, and life insurance</li><li>3 company-paid holidays per year in addition to regular holidays</li><li>4 days of paid time off (PTO) per year</li><li>Paid time off (PTO) on your birthday</li><li>Law benefits (15-day Christmas bonus, vacation days established by law, 25% vacation bonus)</li><li>Awards and recognition program</li></ul>

Data Scientist

<div><strong>Senior Data Scientist</strong></div><div><br>Givelify is a fintech-for-good company where brilliant minds come to power the most loved and trusted online and mobile giving app platform. Thanks to over 2 million generous donors, we’ve helped more than 80,000 nonprofits and places of worship raise over $7.5 billion. Together, they’re changing their world with kindness and generosity.&nbsp;</div><div><br>Inc. 5000, the Stevies® Awards, Gartner, Forbes, and many more have recognized our story, innovations, and achievements. Our award-winning team builds products and experiences that put more good into the world. We love to take on big challenges because we know our work matters. &nbsp;<br><br></div><div>Make an impact at one of the fastest-growing private companies in the U.S. Be part of a talented team of big-hearted individuals, earning competitive pay with excellent benefits.&nbsp;<br><br></div><div><strong>About your role </strong>&nbsp;<br><br></div><div>We're seeking a Senior Data Scientist to be an early and foundational member of a growing Data Science &amp; Insights team — with a focus spanning product and business analytics at Givelify. Reporting to the Head of Data Science &amp; Insights, you will work across the full analytics stack — dashboards, metrics, experimentation, and modeling — with an immediate focus on building the business intelligence infrastructure that gives Givelify transparent, reliable visibility into how the organization is performing.&nbsp;<br><br></div><div>This is a generalist senior individual contributor role by design. As the team grows and specialization becomes possible, your focus will evolve with it. For now, breadth is the asset — you are someone who can move fluidly across problem types and deliver rigorously wherever you land.&nbsp;<br><br></div><div><strong>Your Team</strong></div><div><br>You will be part of the Data Science &amp; Insights team — driving experimentation, analytics, and modeling at the frontier of behavioral science and fintech, tackling problems most data teams never encounter. We translate the complexity of human generosity into rigorous, measurable insight that shapes products and decisions at scale.&nbsp;</div><div><strong><br>Senior Data Scientist will get to:</strong></div><ul><li>Own the development of org-wide business dashboards that provide transparent, reliable insight into company performance, functional health, and execution velocity — the infrastructure that helps Givelify understand how it is operating at any moment.&nbsp;</li><li>Partner with cross-functional teams to define, instrument, and maintain the metrics that matter — ensuring the right things are being measured, consistently and trustworthy.&nbsp;</li><li>Partner with Product and cross-functional teams to design and execute rigorous A/B and multivariate experiments that establish causation before solutions launch — embedding an experiment-first mindset into how Givelify builds and decides.&nbsp;</li><li>Work alongside the Data Science &amp; Insights team to continuously raise the bar on experimentation at Givelify — tackling hard methodological challenges like measuring the impact of experience-driven features, managing concurrent experiments, and developing approaches that make rigorous testing possible even where it has historically been difficult.&nbsp;</li><li>Build predictive and behavioral models that deepen understanding of donor and organizational behavior — segmentation, churn, propensity, and beyond.&nbsp;</li><li>Translate complex analytical findings into clear, decision-ready recommendations for executives and cross-functional stakeholders.&nbsp;</li></ul><div><strong><br>To be successful in this role, you’ll also:&nbsp;</strong></div><ul><li>Own your outcomes completely — you hold yourself accountable for scoping, delivery, and impact, and you execute collaboratively, knowing the best analytical work at Givelify is built with teams, not in isolation.&nbsp;</li><li>Proactively surface opportunities to bring experimentation and causal rigor to decisions across the organization — making the experiment-first mindset contagious.&nbsp;</li><li>Bring stakeholders into the analytical process early and continuously — from question definition through to recommendation — so that insights translate into action.&nbsp;</li><li>Lead with expertise and invest in others — as an early member of a growing function, your impact extends beyond your own output to how the team gets better.&nbsp;</li></ul><div><strong><br>Your experience:&nbsp;</strong></div><ul><li>5–8+ years of experience in data science, business intelligence, applied statistics, or advanced analytics&nbsp;</li><li>Master's or Ph.D. in Statistics, Data Science, Operations Research, Mathematics, Econometrics, or a related quantitative field&nbsp;</li><li>Strong track record building business dashboards and insight systems that drive operational visibility and executive decision-making&nbsp;</li><li>Solid experience with experimental design and causal inference — A/B testing, power analysis, difference-in-differences, propensity methods — and translating results into business decisions&nbsp;</li><li>Strong background in predictive and behavioral modeling — regression, classification, segmentation, time series, gradient boosting — with a focus on business application&nbsp;</li><li>Expert in SQL; advanced proficiency in Python (pandas, scikit-learn, statsmodels, PySpark) and/or R&nbsp;</li><li>Hands-on experience with modern data stacks, Databricks preferred; broader fluency with modern data stacks essentials&nbsp;</li><li>Comfortable working across problem types — you don't need a narrow lane to do excellent work&nbsp;</li><li>Practical fluency using AI/LLM tools to accelerate analytical work (e.g., exploratory analysis, code assistance, documentation), along with an understanding of responsible AI use and data governance &nbsp;</li></ul><div><strong><br>Your superpowers:&nbsp;</strong></div><ul><li>You influence through evidence and storytelling — you don't just analyze; you move people and decisions with what you find&nbsp;</li><li>You translate ambiguity into clarity — where others see a messy question, you see an analytical path forward&nbsp;</li><li>You are data-informed, not data-driven — you know that data illuminates decisions, and you bring analytical rigor and human judgment in equal measure&nbsp;</li><li>You are a custodian and evangelist of causal rigor — you champion well-designed, preemptive experiments as the gold standard for knowing what works, and you carry that conviction into every analytical conversation&nbsp;</li><li>You are a player-coach — you lead with expertise, build strong processes, and make the people around you better&nbsp;</li><li>You are energized by being early — you find building more exciting than inheriting a mature function&nbsp;</li><li>You are comfortable with a shifting focus — you thrive when priorities evolve and don't need a narrow lane to do excellent work&nbsp;</li></ul><div><strong><br>Our culture:</strong>&nbsp;</div><div>We are a virtual team of award-winning and high-performing professionals who innovate and collaborate to fulfill our mission to instantly connect people to causes that matter most to them so they can change their world with kindness and generosity. Our four keys to success - integrity, heart, simplicity, and wow - fuel our passion to be recognized among the tech industry’s most inclusive and purpose-driven workplaces. &nbsp;<br><br></div><div>We are steadfast in our conviction to overcome challenges while performing meaningful work alongside some of the most brilliant minds and biggest hearts. It propels our growth as individuals and as a team. We are committed to respecting each other in our workplace, firmly believing diversity is our strength.&nbsp; &nbsp; &nbsp;</div><div><br>At the heart of everything we do are our giving community, our donors and our partner organizations. We lean on research and human-centered design to consistently push the envelope and innovate our products and customer experiences. &nbsp;</div><div><br>We take great pride in providing competitive pay, full benefits to help care for you today and in the future, amazing perks (including flexible PTO), and, most importantly, the opportunity to put passion and purpose front and center.&nbsp;<br><br></div><div><strong>About Givelify</strong></div><div>Givelify is the most loved and trusted online and mobile giving platform. Along with its powerful donation management system, it’s the fastest-growing technology for advancing generosity in the world. We instantly connect people to their heart’s impulse to do good with award-winning products and experiences. A global community of over 2 million generous people supports their favorite churches, places of worship, nonprofits, and causes with over $7.5 billion in donations across more than 80,000 organizations. Givelify leads all giving apps on the App Store and Google Play Store with more than 135,000 verified, authentic reviews with an average 4.9 out of 5-star rating.</div>

Senior Data Scientist

<div>Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology, education services, and learning management solutions to education and faith-based organizations, serving more than 1,300 higher education institutions, 11,500 K-12 schools, 3,500 churches, and millions of individual students, families, and supporters across the globe. Our culture of service enables us to form long-lasting and trusted partnerships, while our focus on creativity and innovative solutions empowers our customer communities to thrive.</div><div>&nbsp;</div><div>As a Nelnet company, the perks at NBS go beyond our benefits package. You’re part of a community, invested in you as an individual and united by our mission to create opportunities for people where they live, learn and work.</div><div>The Senior Data Scientist is responsible for leading the development and implementation of machine learning models to solve complex business problems.&nbsp; This position works with large datasets, cleans and pre-processes data, and performs exploratory data analysis to understand the underlying patterns and trends.&nbsp; The Senior Data Scientist is also responsible for mentoring more junior Data Scientists, collaborating with cross-functional teams, and presenting findings and recommendations to senior leadership.</div><div><br><strong>JOB RESPONSIBILITIES:</strong><br>1.&nbsp; &nbsp; Conduct advanced analyses and statistical deep dives, with a focus on producing actionable recommendations and strategic guidance for decision makers.<br>2.&nbsp; &nbsp; Develop and deploy custom models and algorithms using data and machine learning libraries to solve complex business problems.<br>3.&nbsp; &nbsp; Mine, clean, process, transform and join data from a variety of sources including SQL servers, AWS environments, Azure, SnowFlake, SalesForce, internal systems, and flat files.<br>4.&nbsp; &nbsp; Identify, wrangle, scrape, and assemble new data sources from the web, data aggregators, and public sources.<br>5.&nbsp; &nbsp; Build rich, interactive dashboards and visualizations from the ground up using PowerBI.<br>6.&nbsp; &nbsp; Compile and present key findings and reports to all levels of the organization, including senior leadership.&nbsp;<br>7.&nbsp; &nbsp; Continuously seek out opportunities to add value through process automation and programmatic solutions to manual tasks and monitor and improve Data Science model performance.&nbsp;<br>8.&nbsp; &nbsp; Act as a subject matter expert within the data science field. Continuously learn, grow, and explore new emerging technologies. (Stay up to date with industry trends and best practices.<br>9.&nbsp; &nbsp; Problem-solve, generate new ideas, and provide creative solutions.<br>10.&nbsp; &nbsp; Mentor, model, act as a resource, and provide guidance for more junior analysts and team members.&nbsp;<br>11.&nbsp; &nbsp; Lead development, testing and implementation of machine-learning models and algorithms using data and machine learning to solve complex business problems.<br>&nbsp;</div><div><strong>Salary range for this role is: $63,000- $127,000</strong><br>&nbsp;</div><div><strong>EDUCATION</strong>:&nbsp;<br>PHD degree required in a Quantitative (heavy in mathematics, statistics or analysis, such as Applied Mathematics, Optimization, Psychology, or Economics) or Programming discipline.&nbsp;</div><div><br><strong>EXPERIENCE</strong>:&nbsp;<br>1.&nbsp; &nbsp; 2+ years of experience in data analysis.<br>3.&nbsp; &nbsp; 1+ years of programming experience.&nbsp;<br>4.&nbsp; &nbsp; Significant experience working with large, complex data sets and common data science tools.<br>5.&nbsp; &nbsp; Experience working with database Python.<br>6.&nbsp; &nbsp; Experience designing, building, deploying, and validating machine-learning predictive models, ideally within a business framework.</div><div>7. Experience training multi model design to structure and train for unstructured data matching.</div><div>8. Experience training LLM models for specialized use cases</div><div><br><strong>COMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES:</strong><br>1.&nbsp; &nbsp; Highly inquisitive and self-motivated.<br>2.&nbsp; &nbsp; Ability to map out solutions with a starting point and end goal, but with few steps identified in-between.<br>3.&nbsp; &nbsp; Exceptional ability to analyze and synthesize data.<br>4.&nbsp; &nbsp; Advanced proficiency in SQL and Python.&nbsp;<br>5.&nbsp; &nbsp; Competency navigating and working within the AWS cloud suite.<br>6.&nbsp; &nbsp; Competency designing self-learning models that result in logarithm trends to identify trends in data to predict potential outcomes or missing data fields.<br>7.&nbsp; &nbsp; Core understanding of statistical concepts and methods.<br>8.&nbsp; &nbsp; Competency in the MS Office Suite.<br>9.&nbsp; &nbsp; Highly accountable and inquisitive, able to manage multiple tasks in a fast-paced, dynamic environment.&nbsp;<br>10.&nbsp; &nbsp; Self-motivated.<br>11.&nbsp; &nbsp; Excellent communication skills (written, verbal, and interpersonal) to coordinate across teams and deliver polished presentations.</div><div>12. Experience with training NumPy and Pandas models.<br><br>Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance &amp; AD&amp;D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program.&nbsp;</div>

<div>The expected salary range for this position is $106,400.00 - $125,010.60. Employees in specific high cost of labor locations in the United States (such as San Francisco, CA and Seattle, WA) may qualify for a geographic differential. Compassion International is not responsible for third parties who omit this information when copying and re-posting job openings.</div><div><br>We’re seeking an Applied Data Scientist III to turn our backlog of AI use cases into scalable, production-ready solutions. This role is both hands-on technical and strategy, combining model development, system design, and operationalization in AWS alongside AI adoption and domain readiness. You’ll work to standardize efforts, drive measurable business impact, and elevate data science best practices across the team and enterprise. You’ll also represent AI platform capabilities to neighbor groups, translating complex ideas and needs into clear value, for both non-technical and technical stakeholders.&nbsp;</div><div><br><strong>What will you do?</strong> &nbsp;</div><ul><li>Maintains a personal relationship with Jesus Christ. Is a consistent witness for Jesus Christ, maintains a courteous, Christ-like attitude in dealing with people within and outside of Compassion, and faithfully upholds Compassion’s ministry in prayer.&nbsp;</li><li>Acts as an advocate to raise the awareness of the needs of children. Understands Christ’s mandate to protect children. Commits to and prioritizes child protection considerations in all decision-making, tasks and activities across the ministry. Abides by all behavioral expectations in Compassion’s Statement of Commitment to Child Protection and Code of Conduct. Reports any concerns of abuse, neglect or exploitation of children through Compassion’s internal reporting process and appropriately supports responses to incidents if they occur.&nbsp;</li><li>Uphold and engage in Compassion’s core <strong>Cultural Behaviors</strong>.&nbsp;</li><li>Develops, analyzes, and models operational, program, marketing, or other organizational data to analyze the competitive performance of Compassion's business segments.&nbsp;</li><li>Develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets. Further evaluates potential operational changes, and designs new approaches and data methodologies accordingly.&nbsp;</li><li>Performs exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross-channel outcomes. Further develops proofs of concept to verify ideas and closes the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients.&nbsp;</li><li>Translates complex analytical and technical concepts for non-technical team members to enable understanding and drive informed business decisions and AI adoption.&nbsp;</li></ul><div><br><strong>What do you bring?</strong>&nbsp;</div><ul><li>Demonstrated ability to act as an AI evangelist—guiding non-technical teams, influencing adoption, and promoting best practices across the organization&nbsp;</li><li>Strong ability to quantify impact, including cost savings, ROI, and prioritization of high-value use cases&nbsp;</li><li>Experience partnering with business stakeholders and translating technical concepts into clear, actionable items and insights&nbsp;</li><li>Strong hands-on experience building and deploying machine learning models end-to-end in production environments&nbsp;</li><li>Proven ability to perform exploratory data analysis and select appropriate algorithms based on business outcomes and data characteristics&nbsp;</li><li>Hands-on experience with AWS (especially SageMaker) for model development, deployment, and orchestration&nbsp;</li><li>Experience working with modern data platforms such as Snowflake and enterprise data warehouses&nbsp;</li><li>Ability to consolidate and operationalize multiple siloed use cases into standardized, scalable solutions&nbsp;</li><li>Seven years Relevant experience working in the Data field&nbsp;</li></ul><div><br><strong>Why work here?</strong>&nbsp;</div><ul><li><strong>The mission:</strong> Join a team that is motivated to release children from poverty in Jesus’ name.&nbsp;</li><li><strong>Our benefits</strong>: Receive generous paid time off, 10% contribution to a 403(b) retirement fund on top of your salary, excellent healthcare coverage, free short-term professional counseling, and <strong>more</strong>.&nbsp;</li><li><strong>Spiritual growth:</strong> Participate in regular chapel services, prayer groups, and department devotionals.&nbsp;</li></ul>

Applied Data Scientist III

<div>GMO Global Media Outreach harnesses the power of digital technology to spread the Gospel around the globe. Through advanced data-driven strategies, we connect with millions, fostering their spiritual growth in Christ. We aim to offer every person on Earth the chance to discover Jesus via various digital channels, creating a faith-based community that unites volunteers with individuals worldwide seeking spiritual enlightenment.<br><br></div><div>We are seeking a skilled and mission-driven Data Scientist to join our growing team. This role is pivotal in helping us understand, engage with, and support people at every stage of their spiritual journey. As a <strong>Data Science &amp; Analytics Director </strong>at Global Media Outreach, you’ll apply statistical modeling, machine learning, and data mining techniques to generate insights that inform outreach strategies, measure spiritual engagement, and optimize impact. You’ll work closely with stakeholders across the organization to ensure data is used to advance our mission effectively and responsibly.<br><br></div><div><strong>Key Responsibilities:<br></strong>This role will provide leadership to the Data Science &amp; Analytics team and foster cross-functional collaboration (including engineering, product, etc.) to align data initiatives with broader business objectives. This role reports to the Chief Technology Officer and works closely with the Director of Engineering and Sr. Director of Solutions as part of the Technology Solutions leadership team.&nbsp;<br><br></div><div><em>Modeling, Metrics &amp; Analysis:</em></div><ul><li>Design and implement machine learning models to classify contacts, predict user engagement, and identify behavioral trends.</li><li>Develop and refine metrics to quantify spiritual growth and content effectiveness.</li><li>Analyze large datasets to extract insights that inform strategic decisions, campaign performance, and digital outreach strategies.</li></ul><div><br><em>Experimentation &amp; Optimization:</em></div><ul><li>Design and evaluate A/B tests, multivariate experiments, and causal analyses to test hypotheses and optimize messaging, user flows, and engagement pathways.</li><li>Leverage data insights to assess the efficacy of product enhancements, content approaches, and operational workflows. This analysis will inform solution development and drive continuous improvement.</li></ul><div><br><em>Data Engineering Collaboration:</em></div><ul><li>Partner with the Director of Engineering to source, clean, and prepare structured and unstructured data for analysis and model deployment.</li><li>Contribute to refining data pipelines and support the execution of scalable models in production environments.</li></ul><div><br><em>Communication &amp; Visualization:</em></div><ul><li>Communicate complex data insights to stakeholders at all levels through clear narratives and effective data visualizations, enabling data‑driven decision‑making across the organization.</li><li>Create compelling dashboards, reports, and visualizations to communicate trends and recommendations to internal stakeholders and leadership.&nbsp;</li></ul><div><br>Research &amp; Innovation:</div><ul><li>Stay informed on trends in data science, machine learning, and AI—especially those applicable to digital engagement and nonprofit work.</li><li>Explore emerging technology trends such as NLP, recommender systems, and responsible AI to inform future innovation.</li></ul><div>&nbsp;</div><div><strong>Skill Requirements:</strong></div><ul><li>Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.</li><li>5–7 years in data science/analytics with leadership experience.</li><li>Proficiency in Python or R and experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, caret).</li><li>Strong SQL skills and experience working with relational databases and data warehouses.</li><li>Demonstrated experience with supervised and unsupervised learning techniques.</li><li>Strong grasp of experimental design, hypothesis testing, and statistical inference.</li><li>Excellent communication and visualization skills, with the ability to explain complex models to non-technical stakeholders.</li><li>Experience deploying models and working with data in production environments.</li></ul><div><br><strong>Bonus Skills:</strong></div><ul><li>Experience in digital engagement, donor analytics, or non-profit impact measurement.</li><li>Familiarity with cloud platforms such as AWS or Google Cloud Platform.</li><li>Exposure to NLP and chatbot-related applications.</li><li>Proficiency in data visualization tools such as Tableau, Power BI, or Looker.</li><li>Understanding of data ethics and responsible AI practices.</li></ul><div>&nbsp;</div><div><strong>Additional Requirements</strong></div><ul><li>This position is fully remote.</li><li>Only U.S.-based applicants will be considered.</li><li>Applicants must be authorized to work in the U.S.</li><li>Alignment with our Statement of Faith is required.</li></ul><div>&nbsp;</div><div><strong>To Apply<br></strong>If you have a passion for using your skills for Gospel purposes, we encourage you to apply. Please submit your <strong>resume</strong> and a <strong>cover letter below. </strong>Your cover letter should detail your interest in joining Global Media Outreach and highlight your experience and skills.<br><br></div><div>Join us in our mission to make a significant global impact through innovative digital means, spreading the gospel and connecting people with the message of Jesus Christ!</div>

Data Science & Analytics Director

<div><strong>MailWell: Data Services<br></strong>masterworks.agency<br><br></div><div><strong>General Description:</strong></div><div>The Marketing Data Specialist will leverage data management tools to clean, prepare and deliver audiences selected for marketing efforts. This role selects data based on written targeting strategies, works with our project management, client engagement and analytics teams to ensure accuracy, then prepares and delivers marketing files for use by a vendor or an internal marketing team.&nbsp;<br><br></div><div><strong>Primary Responsibilities:</strong></div><ul><li>Follow established processes to select audiences and prepare data for marketing efforts, delivering on the project requirements with a very high degree of accuracy.</li><li>Incorporate data from multiple sources using a variety of data software tools which include Google BigQuery, Microsoft Excel, Matillion, and Magnus.</li><li>QC data elements for projects received from clients, transformed data, final output file, and reports. &nbsp;</li><li>Partner with developers, analysts, project management, and client engagement teams to gather documentation and instructions necessary to complete data projects on time.</li><li>Create and update documentation on current processes for the data team and&nbsp; other agency teams, client contacts, and third-party data partners.</li><li>QC your work and the work of team members for data quality, process and accuracy.&nbsp;</li><li>Troubleshoot data errors and anomalies, and provide recommended solutions.</li><li>Perform ad-hoc queries as needed to answer questions about the data.&nbsp;</li><li>Create data query logic from non-technical requests.&nbsp;</li><li>Escalate any data or project issues to the Data Services Manager, as required.</li></ul><div><br></div><div><strong>Professional Competencies:</strong></div><ul><li>An adaptable and resilient mindset, comfortable with a dynamic work environment and evolving technological landscape</li><li>A very high level of attention to detail&nbsp;</li><li>Excellent organizational skills&nbsp;</li><li>Proactive communication&nbsp;</li><li>Ability to multi-task&nbsp;</li><li>Ability to manage assigned tasks and projects to ensure they are completed on schedule</li><li>Self-directed and able to work at peak performance in a fast-paced, production-oriented environment&nbsp;</li><li>A desire to work as part of a team in a collaborative environment</li><li>Ability to think critically and think outside the box</li><li>A commitment to continuous learning</li></ul><div><br></div><div><strong>Technical Competencies:</strong></div><ul><li>Knowledge of database relationships and architecture</li><li>Demonstrated ability to quickly learn and adapt to new software, tools, and technological advancements</li><li>Proficiency with Google Workspace and Microsoft Office Suite</li><li>Intermediate coding language skills (SQL, etc)</li><li>Proficiency in data management tools appropriate to this position:<ul><li>Relational database tools&nbsp;</li><li>Data encryption and transfer technologies (SFTP or use of APIs)&nbsp;</li><li>Cloud-based data lake technologies such as Google Big Query</li><li>Knowledge of basic direct mail and digital marketing metrics a plus</li></ul></li></ul><div><br></div><div><strong>Work Experience:</strong></div><ul><li>1+ years of experience in a related field (data science, database management, analytics, information technology, or marketing analytics)</li></ul><div><br></div><div><strong>Educational Requirements:&nbsp;</strong></div><ul><li>Bachelor’s Degree in a related field (data science, data analytics, data technology, database management, software and data engineering, information technology, applied mathematics, computer science)</li></ul>

Marketing Data Specialist

<div><strong>Come and See Foundation</strong> is a global not-for-profit media organization driven by a singular vision: Every Life Transformed by Jesus. We fulfill this vision by: Inviting everyone to encounter Jesus through exceptional storytelling that brings the Bible to life.</div><div><br>Our primary focus is supporting and expanding the global reach of <em>The Chosen</em>, the first-ever multi-season television series about the life of Jesus Christ. Through its powerful storytelling, high production values, and authentic portrayal of Jesus's life and ministry, <em>The Chosen</em> has captivated millions worldwide and become a cultural phenomenon.</div><div><br>Come and See plays a pivotal role in funding, marketing, and distributing <em>The Chosen</em> while actively engaging audiences to ensure this transformative message continues to inspire lives across diverse cultures and communities. By fostering a collaborative and innovative work environment, we are committed to creating experiences that don't just entertain—but truly transform hearts and lives in Jesus's name.</div><div><br></div><div><strong>Position Overview</strong></div><div>The Digital Asset Manager reports to the Director of Digital Asset Management and carries out daily implementation of strategies and plans under the Director’s direction and oversight. The Digital Asset Manager plays a key role in advancing the Come &amp; See mission by ensuring that master TV episodes, translations, and marketing assets are organized, preserved, and ready for global distribution. This position blends technical and operational excellence with a heart for stewardship, ensuring that every piece of media, from episodes to promotional content, is prepared and accessible to reach audiences worldwide. Through thoughtful organization, metadata management, and workflow design, this role connects production, marketing, and distribution, turning creative assets into tools for ministry impact.&nbsp;</div><div>&nbsp;</div><div><strong>Key Responsibilities</strong></div><ul><li>Manage the daily operations of the Digital Asset Management (DAM) and Video Management Platforms under the direction of the Director of Digital Asset Management, ensuring consistent organization and reliable access&nbsp;</li><li>Oversee the stewardship, versioning, and quality control of master TV episodes, trailers, translations, and marketing materials&nbsp;</li><li>Ensure that metadata and taxonomy standards are applied accurately so assets are searchable, discoverable, and ready for activation across platforms and languages&nbsp;</li><li>Partner with production, post-production, marketing, and localization teams to align workflows for timely and accurate asset delivery&nbsp;</li><li>Apply human-centered design principles to create clear, intuitive structures that meet the needs of both internal teams and external partners&nbsp;</li><li>Use data-driven insights to monitor performance, identify opportunities, and improve efficiency&nbsp;</li><li>Develop and uphold governance policies that maintain consistency, protect intellectual property, and ensure metadata accuracy&nbsp;</li><li>Provide training, documentation, and guidance to promote adoption and best practices in asset stewardship&nbsp;</li><li>Collaborate with IT, creative, and operational teams to align systems and processes with organizational goals&nbsp;</li></ul><div><br><br></div><div><strong>Job Description Subject to Change</strong></div><div><em>The job responsibilities listed in this job description reflect the principal functions of the job and shall not be considered a detailed description of all the work requirements that may be inherent in the position.&nbsp; Additional duties, projects, and responsibilities may be added or removed per organizational or ministry need at the discretion of leadership. Please note this role does not involve creative content production. It is focused on managing finalized assets.</em></div><div><em>&nbsp;</em></div><div><strong>Competencies &amp; Qualifications</strong></div><ul><li>Proven experience managing a Digital Asset Management (DAM) or Media Asset Management (MAM) system&nbsp;</li><li>Knowledge of metadata standards, taxonomy, naming conventions, and rights management&nbsp;</li><li>Curiosity to learn new technologies and grow in stewardship and innovation&nbsp;</li><li>Strong understanding of film and television production workflows, including pre-production, post-production, and distribution&nbsp;</li><li>Familiarity with media file types and formats such as ProRes, MXF, WAV, MP4, and VTT and their appropriate uses&nbsp;</li><li>Familiarity with localization and translation workflows including subtitling, dubbing, and multi-language distribution&nbsp;</li><li>Excellent organizational and problem-solving skills with strong attention to detail&nbsp;</li><li>Data-informed mindset with the ability to translate insights into meaningful improvements&nbsp;</li><li>Effective communicator and collaborator across creative, technical, and ministry teams&nbsp;</li><li>Customer Service: Extremely responsive to internal and external customer requests, exceeding expectations</li><li>Integrity: Earns trust and maintains confidence; does what is right, speaks plainly and truthfully</li><li>Collaboration: Builds relationships and rapport throughout the organization through collaborative team building</li><li>Communication: Able to clearly present complex or conceptual issues both orally and in writing</li><li>Adaptability: Adjusts quickly to changing priorities and conditions; copes effectively with complexity and change</li><li>Openness to Feedback: Solicits feedback, reacts calmly to criticism, and handles difficult situations with honesty</li><li>High Standards: Expects personal and team performance to be nothing short of the best</li><li>Independence: Ability to work independently with minimal supervision</li><li>Bachelor's degree in Business, Data Science, Computer Science, or related field</li><li>Experience with Aprimo and Imagen platforms a plus&nbsp;</li><li>4-6 years experience managing post-production final assets, or a video/digital asset management system. &nbsp;</li><li>Reliable high-speed internet connection (1GB+, fiber preferred)&nbsp;</li></ul><div>&nbsp;</div><div><strong>Physical/Mental Requirements</strong></div><div>The physical and mental demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div><ul><li>Ability to sit for extended periods while working at a computer</li><li>Visual acuity sufficient to work with detailed information on computer screens</li><li>Manual dexterity to operate computer keyboard and mouse</li><li>Ability to concentrate and maintain attention to detail for extended periods</li><li>Capacity to manage multiple projects simultaneously and work under pressure</li><li>Strong verbal and written communication skills</li><li>Ability to participate in video conferences and virtual meetings</li><li>Ability to consistently lift up to 20 lbs</li><li>If hired as remote, readiness to travel roughly once each quarter</li></ul><div>&nbsp;</div><div><strong>Our Beliefs, Culture, and Commitment</strong></div><div>At Come and See, every staff member is a critical and valuable part of our mission and ministry. We consider ministry readiness and an individual’s capacity to represent our culture and Christian beliefs during the selection process for all staff positions. An essential function within every position held by a staff member at Come and See is to uphold and represent Jesus in how we live and behave. &nbsp;</div><div>&nbsp;</div><div>While we unite around our mission, we know unity doesn’t mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential in our mission and vision to share the story of Jesus with the world and see everyone, everywhere, experience the authentic Jesus.</div>

Digital Asset Manager

<div><strong>About Company</strong></div><div><br></div><div>Samaritan Ministries is a Biblical solution to health care. It is not insurance. We deliver authentic, compassionate, and personal service in the name of Christ to enable and inspire members to provide for one another’s medical needs through prayer, encouragement, and financial support.<br><br></div><div>From demonstrating Christ-centered compassion to modeling best practices in health care sharing, Samaritan Ministries is committed to keeping Jesus at the center of everything we do. The way we interact with our colleagues and engage with our members is a testament that we are ultimately serving Christ and His Kingdom.</div><div><strong><br>Summary<br></strong><br></div><div>To serve the members of Samaritan Ministries International (SMI) by developing and implementing innovative technology solutions using emerging technologies such as Artificial Intelligence and machine learning. The R&amp;D Engineer works closely with the R&amp;D Manager and cross-functional teams to prototype, test, and refine new solutions that enhance ministry operations and member experience. This role focuses on hands-on development of experimental systems and proof-of-concept applications to evaluate the viability of new technologies for ministry use.<br><br></div><div><strong>Competencies<br></strong><br></div><ul><li>Acting with Integrity, Empathy, and Compassion</li><li>Collaborating with Others</li><li>Neighbor Focus</li><li>Pursuing Excellence</li><li>Analytical Thinking</li><li>Attention to Detail</li><li>Problem Solving</li><li>Creativity and Innovation</li><li>Presentation</li><li>Machine Learning and Artificial Intelligence</li></ul><div><strong><br>Key Responsibilities<br></strong><br></div><ul><li>Design and develop prototypes using AI, machine learning, and other emerging technologies to address ministry operational needs</li><li>Build proof-of-concept applications and experimental systems to validate new technological approaches</li><li>Implement AI-powered solutions for various ministry departments including Program, Marketing, Member Services, and IT</li><li>Conduct technical research on emerging technologies and evaluate their potential applications within the ministry context</li><li>Develop and maintain technical documentation for prototypes, experiments, and research findings</li><li>Analyze experimental data and provide insights to guide technology adoption decisions</li><li>Participate in knowledge sharing activities including technical presentations and collaborative sessions with ministry staff</li><li>Support cross-functional teams in understanding and leveraging new technologies Write clean, maintainable code for prototypes and experimental systems</li><li>Assist in testing and quality assurance of developed solutions</li><li>Contribute to the continuous improvement of R&amp;D processes and methodologies</li><li>Stay current with advancements in AI, machine learning, and relevant technology domains</li></ul><div><strong><br>Qualifications and Experience<br></strong><br></div><ul><li>Four-year degree in Computer Science, Data Science, Engineering, or related field from an accredited university, or equivalent combination of education and experience</li><li>2-4 years of professional experience in AI/ML implementation, software development, data science, or related technical field</li><li>Previous experience in R&amp;D or innovation-focused roles</li><li>Background in healthcare, insurance, or related industry</li><li>Master's or Ph.D. degree in Computer Science, Data Science, or related field preferred</li><li>Proficiency in Python programming with experience in data science libraries</li><li>Strong SQL skills for database querying and data manipulation</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and AI platforms (OpenAI, Azure AI, AWS AI services)</li><li>Solid understanding of ML algorithms including neural networks, transformers, regression, and classification models</li><li>Experience with cloud platforms (AWS, Azure, or GCP) and databases (MS SQL Server, MySQL, or PostgreSQL)</li><li>Proficiency in data analysis and visualization tools (e.g., Tableau)</li><li>Working knowledge of version control systems (Git) and agile development methodologies</li><li>Strong Statistical Analysis and data science methodology knowledge</li><li>Excellent written and verbal communication skills with ability to explain technical concepts to non-technical stakeholders</li><li>Demonstrated ability to work independently on complex technical challenges</li><li>Proven track record of quickly learning and applying new technologies</li><li>Full-stack development experience including HTML, CSS, and JavaScript (preferred)</li><li>Expertise in API design, development, and integration (preferred)</li><li>Hands-on experience with natural language processing (NLP) and computer vision applications (preferred)</li><li>Experience with big data technologies (Spark, Hadoop, Databricks) Background in Healthcare, insurance, or related industry Previous experience in R&amp;D or innovation-focused roles(preferred)</li><li>Experience with containerization technologies (Docker, Kubernetes) (preferred)</li><li>Knowledge of MLOps and model deployment practices (preferred)</li></ul><div><strong><br>Additional Information<br></strong><br></div><ul><li>Tasks are normally conducted in a regular office environment, requiring use of computer and mouse and other standard office equipment. Staff usually remain in a stationary position, often standing or sitting for prolonged periods.</li><li>Staff will observe safety principles while performing the duties of the position</li><li>Staff may be required to travel and have a valid driver's license</li><li>This position requires an active commitment to the mission and values of SMI. In the course of performing job duties, the employee will act in a manner that is Christ-honoring as well as Christ-like, demonstrating a personal Christian faith and witness in all interpersonal interactions.</li></ul><div><br><strong>Pay Range: $87,900-$135,300.</strong> <em>Starting pay usually falls within the lower half of the pay range and is determined by experience, skills, and education.</em></div><div>&nbsp;</div><div><strong><em>Benefits Include:</em></strong></div><ul><li>Performance-based incentive pay</li><li>SMI Membership with monthly healthcare bonus</li><li>Health Insurance: MEC plan with employer HSA contribution</li><li>401K Retirement plan with employer contribution</li><li>Life Insurance</li><li>Short-term disability</li><li>Dependent Care Flexible Spending Account</li><li>Time Off: 9 company paid holidays, 5 missions days accrued annually, maternity and paternity leave, FMLA, Bereavement, and weekly accrued PTO (40 hours to use after 30 days + 80 hours accrued for 48 weeks)</li><li>Health club or home workout benefits for participating staff</li><li>Formal staff development and leadership training</li><li>Spiritual support and counseling through our staff support office</li><li>Repeatedly certified as a Best Christian Workplace</li></ul>

R&D Engineer

<div><strong>Data Scientist IV</strong> <br>Are you passionate about using data science to solve real-world problems and communicate insights that leaders can trust? At Ligonier Ministries, we’re looking for a Data Scientist IV to join our Analytics &amp; Information Management (AIM) team within the Technology &amp; Innovation Department (T&amp;I). This is a senior role for an analytics leader who will launch Ligonier’s first machine learning initiatives while occasionally flexing to assist with data engineering and BI as needed to keep value flowing. As part of AIM, you’ll design and deploy trustworthy, interpretable ML models that directly strengthen gospel engagement, discipleship, and generosity. From predictive modeling and A/B testing to SHAP-based explanations and ROI measurement, you’ll help stakeholders not only see what’s possible but also understand and act on it with confidence. And when demand for data science ebbs, your versatility to occasionally assist with data engineering and reporting ensures the ministry continues moving forward. <br><br>This position is fully remote, allowing you to contribute from anywhere in the U.S. while partnering with a mission-driven team dedicated to stewardship, innovation, and impact. <br><br><strong>What You’ll Do</strong></div><ul><li>Build predictive models on constituent data to identify the drivers of mission-critical outcomes.</li><li>Design and interpret controlled experiments (A/B testing, lift, ROI) to measure business impact.</li><li>Deliver clear, executive-ready explanations of model results using SHAP and other methods.</li><li>Operationalize ML solutions with reproducible code, CI/CD, monitoring, and Power BI outputs.</li><li>Collaborate on feature engineering and data pipelines with AIM’s engineering team.</li><li>Champion data governance, quality, and security practices across sensitive data assets.</li><li>Mentor colleagues and evaluate emerging Microsoft and ML tools for responsible adoption.</li><li>Occasionally assist with data engineering and BI delivery during periods of low DS demand.</li></ul><div><br><strong>What You’ll Bring</strong></div><ul><li>Master’s degree in a quantitative field (Computer/Data Science, Statistics, Applied Economics, etc.).</li><li>7–10+ years of progressive experience spanning machine learning, analytics, and data engineering.</li><li>Expertise in predictive modeling and experimentation (GLMs, ensembles, XGBoost/LightGBM, neural nets, etc.).</li><li>Strong proficiency in Python (pandas, NumPy, scikit-learn, XGboost), SQL/T-SQL, and MLOps practices.</li><li>Hands-on experience within Microsoft’s ecosystem (Azure Synapse/Fabric, SSIS/ADF, Delta lakehouse).</li><li>Advanced use of Power BI (datasets, dashboards, DAX, incremental refresh).</li><li>Ability to translate technical models into business-ready explanations and mentor teams.</li><li>Commitment to Ligonier’s General Statement of Faith.</li></ul><div><br>This is a role with meaningful impact in a non-profit Christian ministry. We highly encourage you to include a cover letter with your application.</div><div>At this time, we are only able to hire individuals authorized to work in the United States.</div><div>&nbsp;</div><div>The pay range for this position is $120,000 – $135,000 annually. Pay ranges represent the lowest to highest salary we reasonably believe we would pay for this role at the time of posting. We may ultimately offer more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, geographic location, and organizational needs.</div>

Data Scientist IV

<div><strong>Who we are</strong></div><div><br></div><div>Hallow is on a mission to help people pray. We’re the No. 1 prayer app in the world, with more than 1 billion prayers prayed across 150+ countries. We're building a product that is authentically Christian and Catholic, while at the same time a resource for anyone looking to grow deeper in a relationship with God. We believe that people are hungry for peace, and that there is no surer way to find it than by learning to sit in silence with Christ: “Come to me, all you that are weary and are carrying heavy burdens, and I will give you rest” (Mt 11:28).</div><div><br></div><div>Our goal is to build something truly great. Something that combines the beauty of the Church's spirituality with world-class product and content execution. And we need a world-class team to make it happen.</div><div><br></div><div>We launched the app in December 2018 and have been blown away with the incredible growth &amp; traction. Hallow has been downloaded more than 25 million times with over 250,000 5-star reviews. We're blessed to be backed by some of the best mission-driven investors in the world and are excited to build out the team to help a lot more folks grow closer to God.</div><div><br></div><div>We are a startup. We move quickly. We are small but we take big swings. Each person is responsible for making an impact. It is hard—but deeply meaningful—work. We'd be honored &amp; humbled if you'd consider joining us.</div><div><br></div><div><strong>Tldr</strong>: You're a senior Software Engineer, located in the US, with a strong focus on data. You bring deep, practical experience, thrive in complex systems, have a keen eye for improvements, and approach your work with a DevOps mindset and a strong sense of ownership. If you’re passionate about improving systems and delivering high-quality solutions at the intersection of software and data, we’d love to talk to you.</div><h3><br></h3><h3>What You'll Do</h3><ul><li><strong>Engineer robust data systems:</strong> Design, build, and maintain scalable software systems that power our data infrastructure. Develop and enhance both new and existing data pipelines and integrations, leveraging modern software engineering best practices.</li><li><strong>Champion data quality:</strong> Collaborate cross-functionally with stakeholders and engineers to ensure data is accurate, consistent, and reliable throughout our products and platforms.</li><li><strong>Drive performance and reliability:</strong> Proactively monitor, troubleshoot, and optimize the performance of our data-driven systems, recommending, and implementing improvements to ensure resilience, scalability, and maintainability.</li></ul><h3><br></h3><h3>What You'll Love</h3><ul><li><strong>Mission:</strong> This work is incredibly humbling. Every day we hear amazing stories and we get the pleasure of working on something that’s impacting lives. One of our favorite user quotes: “I hate quoting an old, overused cliche, but I’ve been very lost. And I think for the first time in a while I may be found.”</li><li><strong>Ownership: </strong>When a company is this small, every employee is a core team member with an outsized impact. Data runs deep through Hallow. You'll impact <em>every</em> aspect of the business.</li><li><strong>Growth:</strong> From day one, you'll be a part of the startup journey. We're growing quickly and we'll need your help to build and maintain robust data-intensive systems to drive our product and support our mission.</li><li><strong>Flexibility: </strong>We operate as a remote-first team with members all over the globe and are open to candidates anywhere in the U.S. for this position. We don’t care when or where you work, just that it gets done! That being said, our HQ is in Chicago and if in-person work is something you are interested in, we’d love to have you there!</li><li><strong>Comp:</strong> We pay competitive market rates in terms of equity, cash, &amp; benefits.</li></ul><h3><br></h3><h3>What We're Looking For</h3><ul><li><strong>Passion for technology and data:</strong> You’re enthusiastic about our mission and have a deep curiosity for both software engineering and data-driven solutions. You stay up to date with the latest trends and advancements in the industry, while remaining grounded in the core principles and history that underpin the field.</li><li><strong>Technical versatility:</strong> You bring 5+ years of hands-on software engineering experience and a proven track record of building and maintaining production systems. You are highly proficient in TypeScript, Python, and SQL, and thrive in environments where you work across multiple languages and frameworks. You have a deep, practical understanding of both transactional and analytical databases, and you’ve architected and maintained robust data workflows and orchestration systems.</li><li><strong>Pragmatism: </strong>You have a strong grasp of the real-world trade-offs involved in data modeling, data management, and data movement, and you are comfortable making technical decisions that balance complexity, performance, and scalability.</li><li><strong>DevOps mindset: </strong>You are experienced with CI/CD, cloud infrastructure, and automation, and are committed to building reliable, production-ready systems.</li><li><strong>Grit, ownership, &amp; meticulousness:</strong> You thrive in a fast-paced, start-up environment, tackling new challenges with perseverance and a sharp eye for detail. You consistently take full responsibility for your work, proactively drive projects forward, and ensure that results meet the highest standards - regardless of obstacles or setbacks. No task is beneath you, and you’re always willing to roll up your sleeves to do whatever’s needed to help the team succeed.</li></ul><div><br></div><div>We're a small team and we care deeply about each new hire, so sometimes it can take us a while to get through the hiring process for these roles. Apologies in advance for any delays. We'll do our best to keep you updated throughout the process, and we really appreciate your patience and understanding as we work through everything.</div><div><br></div><div>We are honored that you'd consider joining the team and look forward to connecting with you.</div><div><br></div><div>Best,</div><div><br></div><div>Alex at Hallow</div><div>CEO &amp; Co-Founder</div><div><br></div><h3>Compensation Range</h3><div>$130,000 to $175,000 USD per year</div><div><br></div><div>The above range only includes cash compensation. Each full-time employee in the US also receives equity compensation, alongside a top-tier benefits package (e.g., unlimited PTO, insurance, remote-flexible work, fully paid parental leave, 401(k) match, and stipends for spiritual development, health &amp; wellness, home-office, and learning).</div><div><br></div><div>The above range for cash compensation refers to base salary. All full-time employees are also eligible to be considered for a discretionary bonus at the end of each fiscal year. These ranges are just initial estimates. They may vary depending on market or location and may be adjusted depending on the person we end up hiring for this role, their experience, and market dynamics.</div>

Senior Software Engineer, Data

<h3>Description</h3><div>Full-time, Irondale (Birmingham), AL. <strong><em>Remote eligible<br></em></strong><br></div><div><strong>HOW YOU WILL IMPACT THE BIG PICTURE:<br></strong><br></div><div>Provide analytical and database support for the analysis of program and campaign performance. Support, optimize and enhance the real-time reporting structure that powers program and campaign effectiveness, as well as use that infrastructure to generate powerful insights that inform the strategy of the Direct Response team at large.&nbsp; Work closely with managers for low-dollar, mid-level, sustainer and new donor programs.&nbsp; Support the department’s use of data and analytics for direct mail, telemarketing and digital, to include email.&nbsp; Support the Director of Direct Response in fundraising analysis and project management around new data initiatives to improve the donor experience and fundraising performance.<br><br></div><div><strong>WHAT YOU WILL DO:</strong></div><ul><li>Maintain and optimize the database to support the regular reporting and segmentation needs driven of a growing donor base.</li><li>Manage data and analytics for all programs and campaigns in collaboration with external analytics and fundraising consultants.</li><li>Provide clean and aggregated fundraising data to generate actionable insights.</li><li>Create segmentations, imports/exports lists, and assist direct response team with review of data output files and segmentation logic.</li><li>Automate workflow.</li><li>Build custom reports, dashboards and visualizations.</li><li>Conduct campaign audits, analysis and data mining to identify trends and forecasting.</li><li>Integrate data sets from multiple sources and platforms (CRM, Sisense, HubSpot, Google Analytics, and more) and validate integrations.</li><li>Support combined integrated data analysis with direct mail and digital teams.</li><li>Troubleshoot data problems and work with internal stakeholders to address.</li><li>Transform and clean data to support analytics needs.</li><li>Collaborate with external data professionals, bringing best practices in-house.</li><li>Serve as lead on data and analytics, working in conjunction with the digital optimization and campaign manager.</li></ul><div><br><strong>ABOUT YOU:</strong></div><ul><li>Hold 3 to 6 years of professional experience in data analysis roles.</li><li>Experienced analytics professional able to resolve a wide range of data challenges.</li><li>Hands-on data experience in a nonprofit CRM environment, preferably Virtuous.</li><li>Experience transforming data using Sisense, Tableau, PowerBI or similar platform.</li><li>Proficient SQL/PL user with working knowledge of CRUD operations and dynamic SQL.</li><li>Comfortable working with data-related python and/or R packages for data cleaning and modeling.</li><li>Practical statistical expertise and understanding of direct mail and digital campaigns.</li><li>Proven ability to adhere to deadlines and to seek out learning and support.</li><li>Proven soft skills: Excellent verbal &amp; written communication skills, self-starter; ability to work independently, ability to adapt and respond to various situations.</li><li>Maintain ethical standards consistent with fundraising professionals’ code of conduct.</li><li>Hold a Bachelor’s degree in Computer Science, Statistics, Mathematics or Business</li></ul><div><br><strong>PREFERRED QUALIFICATIONS:</strong></div><ul><li>Practicing Catholic preferred.</li></ul><div><br><strong>WHAT YOU’LL LOVE ABOUT WORKING HERE:</strong></div><ul><li>We offer a career with purpose! Apply your God-given talents, knowing your contributions help to advance EWTN’s mission of sharing the Gospel with the world.</li><li>Caring environment.&nbsp; We value the importance of family/life balance and welcome you as an EWTN family member, not just an employee.</li><li>Worship at work! Freedom to participate in Mass, visit the chapel for prayer or attend an annual retreat.</li><li>Competitive salary and comprehensive benefits package including Health, Dental, Vision, Life &amp; Disability insurance and Retirement Savings Plan.</li><li>11 Paid Holidays and generous Paid Time Off program.</li><li>Tuition reimbursement for online continuing education and degree programs through our partnership with Catholic International University.</li><li>Ability to learn alongside legacy employees while bringing new ideas to the growing team!</li></ul>

Data Analyst

<h3>Details</h3><ul><li><strong>Department: </strong>Ascension Data Science Institute</li><li><strong>Schedule: </strong>Full time, 8 hour day shift, Monday - Friday</li><li><strong>Location: </strong>Remote</li></ul><div><br></div><h3>Benefits</h3><div>Paid time off (PTO)<br>Various health insurance options &amp; wellness plans<br>Retirement benefits including employer match plans<br>Long-term &amp; short-term disability<br>Employee assistance programs (EAP)<br>Parental leave &amp; adoption assistance<br>Tuition reimbursement<br>Ways to give back to your community</div><div>&nbsp;</div><div><em>Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance and salary range at the time of the offer.</em></div><div><br></div><h3>Responsibilities</h3><div><strong>What you will do:</strong></div><ul><li>Build and manage pipelines using Vertex AI and Kubeflow Pipelines for seamless experimentation, versioning, and deployment.</li><li>Handle version control, model registries, and CI/CD workflows; ensure reproducibility and traceability of ML experiments.</li><li>Package ML workloads in Docker containers and deploy on Cloud Run, GKE (Google Kubernetes Engine), ensuring scalability and performance.</li><li>Use Cloud Monitoring, Cloud Logging, Looker dashboards or similar to detect data/model drift, monitor cost, and optimize resource utilization.</li></ul><div><strong><br>Additional preferences:&nbsp;<br></strong><br></div><ul><li>Familiarity with BigQuery, Dataflow, or Pub/Sub for large-scale data ingestion and preprocessing</li><li>Experience with TensorFlow, PyTorch, or Scikit-learn, integrating them into production pipelines</li><li>Working knowledge of Cloud Functions, Cloud Build, GitOps principles, or other deployment automation tools</li><li>Strong background in Python with Git-based version control, emphasizing best practices and code quality</li></ul><div><br></div><h3>Requirements</h3><div>Education:</div><ul><li>High School diploma equivalency with 2 years of cumulative experience OR Associate's<br>degree/Bachelor's degree with 1 year of experience OR 5 years of applicable cumulative job specific<br>experience required. 2 years of leadership or management experience preferred.</li></ul><div><br></div><h3>Additional Preferences</h3><div>No additional preferences.</div><div><br></div><h3>Why Join Our Team</h3><div>Ascension associates are key to our commitment of transforming healthcare and providing care to all, especially those most in need. Join us and help us drive impact through reimagining how we can deliver a people-centered healthcare experience and creating the solutions to do it. Explore career opportunities across our ministry locations and within our corporate headquarters.</div><div>&nbsp;</div><div>Ascension is a leading non-profit, faith-based national health system made up of over 134,000 associates and 2,600 sites of care, including more than 140 hospitals and 40 senior living communities in 19 states.</div><div>&nbsp;</div><div>Our Mission, Vision and Values encompass everything we do at Ascension. Every associate is empowered to give back, volunteer and make a positive impact in their community. Ascension careers are more than jobs; they are opportunities to enhance your life and the lives of the people around you.</div><div><br></div><h3>Equal Employment Opportunity Employer</h3><div>Ascension will provide equal employment opportunities (EEO) to all associates and applicants for employment regardless of race, color, religion, national origin, citizenship, gender, sexual orientation, gender identification or expression, age, disability, marital status, amnesty, genetic information, carrier status or any other legally protected status or status as a covered veteran in accordance with applicable federal, state and local laws.</div><div>&nbsp;</div><div>As a military friendly organization, Ascension promotes career flexibility and offers many benefits to help support the well-being of our military families, spouses, veterans and reservists. Our associates are empowered to apply their military experience and unique perspective to their civilian career with Ascension.</div><div>&nbsp;</div><div><strong>Pay Non-Discrimination Notice</strong></div><div>Please note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.</div>

MLOps Engineer

<div>Gloo was founded as a mission-driven organization with the goal to release the passion in every person to Champion the growth of another so they can be all they were born to be.</div><div><br>Today, organizations of all sizes in the faith space use Gloo’s products to become more informed, better connected, and fully equipped to overcome their greatest challenges and achieve powerful outcomes, helping people progress through their personal growth journeys.<br><br></div><div>By building a common platform, we are creating a shared infrastructure that removes friction, promotes collaboration, and equips leaders with the right tools to galvanize personal growth and change lives. We are a fast-moving and passionate team that is looking for more talented professionals who are driven to make a positive impact.<br><br></div><h3><strong>The Team:</strong></h3><div>Gloo360 is the premier managed services provider (MSP) division of Gloo dedicated to delivering comprehensive technology and operational support to non-profit organizations and mission-driven enterprises. By managing critical systems such as IT infrastructure, cybersecurity, cloud solutions, and enterprise platforms like Workday, Salesforce, and HubSpot, Gloo360 empowers its partners to focus on their core missions. Through innovative solutions, strategic integrations, and exceptional customer support, Gloo360 ensures operational excellence while driving efficiency, scalability, and transformative impact for the organizations it serves.</div><div><br></div><h3><strong>The Opportunity:</strong></h3><div>The Data Analytics Specialist will provide a managed service to help customers gain deeper insights into their business operations and guide them toward data-driven decision-making. Reporting to the Business Intelligence &amp; Analytics Lead, this role involves analyzing data, developing dashboards, and delivering actionable insights that align with customer goals. The Data Analytics Specialist will support customers by translating complex datasets into clear, meaningful reports and visualizations, ensuring data quality and promoting best practices in data-driven strategies. This position is remote based at our headquarters in Boulder, Colorado.</div><div><br></div><h3><strong>What You’ll Be Doing:</strong></h3><ul><li>Data Analysis &amp; Reporting<ul><li>Analyze customer datasets to uncover trends, insights, and opportunities for improvement.</li><li>Develop dashboards and custom reports to monitor performance metrics, enabling data-driven decision-making.</li><li>Work closely with customers to define KPIs and metrics that align with their business goals.</li></ul></li><li>Data Visualization<ul><li>Create clear and compelling visualizations to communicate data insights effectively to diverse audiences.</li><li>Ensure visualizations are tailored to the specific needs and expertise of each customer.</li><li>Continuously improve reporting tools and techniques to enhance clarity and usability.</li></ul></li><li>Collaboration with Business Intelligence<ul><li>Partner with the Business Intelligence &amp; Analytics Lead to ensure alignment with organizational and customer objectives.</li><li>Collaborate with internal teams to support data-driven projects, ensuring consistent standards and methodologies.</li><li>Work with customers to identify and address gaps in their data strategies.</li></ul></li><li>Data Governance &amp; Quality Assurance<ul><li>Ensure the integrity, security, and accuracy of customer data through consistent quality checks and adherence to best practices.</li><li>Promote data governance principles, helping customers implement policies that maintain data quality.</li><li>Assist in troubleshooting data issues and delivering timely resolutions.</li></ul></li><li>Customer Engagement &amp; Support<ul><li>Provide insights and recommendations that help customers make informed decisions.</li><li>Act as a trusted advisor to customers, ensuring they fully understand and utilize their data assets.</li><li>Offer training and resources to customers, helping them build their internal data capabilities.</li></ul></li></ul><div><br></div><h3><strong>What We're Looking For:</strong></h3><ul><li>Bachelor’s degree in Data Science, Analytics, Statistics, or a related field.</li><li>3+ years of experience in data analysis, reporting, or visualization roles.</li><li>Proficiency with data visualization tools (e.g., Tableau, Power BI, Domo) and analysis languages (e.g., SQL, Python, R).</li><li>Strong understanding of data governance and quality assurance best practices.</li><li>Ability to use AI to increase efficiency and output.</li><li>Experience working directly with customers or stakeholders to define and meet their data needs.</li><li>Excellent communication skills, with the ability to convey complex data insights to non-technical audiences.</li><li>Familiarity with CRM systems, ERP platforms, and other business intelligence tools is a plus.</li></ul><div><br></div><div><strong>Compensation:</strong> $95,000 - $145,000</div><div><br></div><h3><strong>Our Team Members Enjoy:</strong></h3><ul><li>Compensation and bonus commensurate with experience.</li><li>Plenty of time off to keep you balanced.</li><li>Medical benefits with multiple plan offerings, HSA contribution, and Dental and Vision plans.</li><li>A dynamic, talented team, dedicated to changing the world and building an incredible business.</li><li>Onsite and virtual social events to keep us connected in our hybrid work environment</li><li>Beautiful office space in downtown Boulder on Pearl Street, steps from coffee shops and blocks from hiking trails.</li></ul>

Data Analytics Specialist

<div><strong>Join Tithe.ly, </strong><strong><em>We’re on a Mission</em></strong></div><div>We’re a fully remote tech company that puts the Church first, serving over 37,000 churches around the world. We’re on a mission to see the local Church have the financial stability and resources needed to build the Kingdom of God. We work every day to deliver world-class, cost-effective technology tools to make the church's business just a bit easier.</div><div><br></div><div><strong>Sr. Data Engineer</strong></div><div>The Senior Data Engineer will play a critical role in designing, building, and maintaining high-performance data pipelines and infrastructure to support scalable analytics and data science initiatives. This role is responsible for optimizing our data architecture, enabling efficient data collection, storage, and processing, and ensuring data quality across a variety of sources. The ideal candidate will have extensive experience in data engineering, be skilled in cloud technologies, and be passionate about delivering data solutions that drive business impact.</div><div><br></div><div><strong>Primary Responsibilities of the Role</strong></div><ul><li>Data Pipeline Development: Design, build, and maintain reliable, scalable ETL (Extract, Transform, Load) processes and data pipelines to collect, clean, and process large datasets into our data warehouse.</li><li>Data Infrastructure and Architecture: Architect and manage data warehousing and data lake solutions in cloud environments to support business analytics.</li><li>Data Quality and Governance: Implement best practices for data quality, validation, monitoring, and governance to ensure high data integrity and compliance with relevant standards.</li><li>Cross-Functional Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and optimize infrastructure to support business goals.</li><li>Optimization and Performance Tuning: Monitor and enhance database performance, tuning SQL queries, and optimizing storage and access patterns for fast, reliable data access.</li><li>Cross-Functional Tool Integration: Lead the integration of various cross-functional tools (e.g., HS, Zendesk, analytics platforms) into a central data lake to create a unified, accessible data source for all departments. This includes designing standardized ingestion processes, ensuring data consistency, and establishing efficient data flows across systems to facilitate seamless access and analytics across the organization.</li></ul><div><br></div><div><strong>A Successful Candidate Will:</strong></div><ul><li>Ensure Accountability: Holds self and others accountable for meeting data quality and delivery commitments. Sets clear responsibilities, establishes effective monitoring processes, and takes ownership of ensuring reliable data solutions. Designs feedback loops to consistently improve work quality and results.</li><li>Manage Complexity: Demonstrates skill in navigating complex data structures and multi-source integrations, applying critical thinking to solve intricate data challenges. Asks insightful questions and applies a structured approach to analyze, troubleshoot, and optimize data solutions effectively.</li><li>Be Action-Oriented: Urgently and energetically takes initiative on technical challenges. Seizes new opportunities to improve data systems, displaying a proactive, “can-do” attitude when tackling issues and advancing projects on schedule.</li><li>Collaborate Effectively: Builds strong cross-functional partnerships, working closely with product, analytics, and data science teams to understand their needs and ensure data infrastructure supports their goals. Establishes trust, communicates clearly, and works towards shared objectives.</li><li>Communicate Effectively: Delivers clear, timely information across teams, tailoring communication for diverse audiences. Effectively explains complex data processes and technical decisions to non-technical stakeholders, ensuring alignment on data infrastructure initiatives.</li></ul><div><br></div><div><strong>Technical Qualifications</strong></div><ul><li>Experience: 5+ years in data engineering or a related field.</li><li>Technical Skills: Familiarity with Snowflake, RDBMS's, Git, Jira</li><li>Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).</li></ul><div><br></div><div><strong>Office Requirements:</strong></div><ul><li>We are a fully distributed team (100% remote) with travel required 1-2 times per year.</li><li>A stable work environment with designated workspace and access to high-speed internet.</li><li>US-based and legally able to work full time in the US. Sponsorships are not available at this time.</li></ul><div><br></div><div><strong>Benefits</strong></div><div>We offer health insurance, dental, and vision coverage for you and your family, a 401 (k), paid time off, sick leave, parental leave, and more. We believe taking care of our team is important and want to be sure you have what you need.</div><div><br></div><div><em>Tithe.ly is an Equal Opportunity Employer Yourgiving, Inc. DBA Tithe.ly (herein, “the Company”) is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race (including hairstyles), color, alienage or national origin, ancestry, citizenship status, sex, gender, gender identity, pregnancy, childbirth or related medical condition, religious creed, physical disability or handicap, mental disability or handicap, age, medical condition (cancer), marital status, veteran status, sexual orientation, genetic information, arrest record, or any other characteristic protected by federal, state or local law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, and general treatment during employment.</em></div><div><br></div><div><strong>Annual Compensation: $125k - $150k</strong></div>

Sr. Data Engineer

<div><strong>The Company<br></strong><br></div><div>At Servant Digital, we specialize in empowering leaders and organizations within faith communities through innovative digital transformation and change management solutions. We are committed to providing tailored strategies that align with our clients' values and missions, focusing on service, integrity, and excellence. Our team is passionate about making a meaningful impact by equipping our partners with the tools and technologies they need to thrive in a rapidly evolving digital landscape. Join us in our mission<br><br></div><div><strong>The Role<br></strong><br></div><div>We are seeking an innovative Emotive Data Visualization Animator who brings data to life through dynamic, emotionally resonant animations. This role will bridge the gap between data, storytelling, and animation, turning raw numbers into compelling, impactful narratives that engage and inform audiences on a deeper level. The ideal candidate combines expertise in animation with strong coding skills and a keen understanding of data visualization to create interactive and expressive data experiences.<br><br></div><div><strong>Responsibilities:<br></strong><br></div><div><strong>Transform Data into Visual Narratives: </strong>Design animated data visualizations that not only inform but also evoke a desired emotional response in line with key project objectives.<br><br></div><div><strong>Collaborate on Storyboarding and Scripting: </strong>Partner with data analysts, content creators, and design teams to storyboard and map out engaging data-driven animations that tell a clear and impactful story.<br><br></div><div><strong>Code Interactive and Dynamic Visualizations:</strong> Leverage libraries like D3.js, Three.js, and p5.js to build animations that work responsively on the web and offer interactivity.<br><br></div><div><strong>Develop and Test Animated Data Visualizations: </strong>Use coding languages such as JavaScript, HTML/CSS, and SVG animation, ensuring high performance and visual appeal across devices.<br><br></div><div><strong>Animate Using Advanced Tools:</strong> Utilize Adobe After Effects, Adobe Animate, and/or WebGL for complex animations and 3D data visualizations.<br><br></div><div><strong>Audience-Centric Design</strong>: Use insights into audience psychology and emotional triggers to create visualizations that maximize engagement and relatability.<br><br></div><div><strong>Optimize for Web:</strong> Ensure animations are optimized for web performance, balancing visual quality with efficiency for a seamless user experience.<br><br></div><div><strong>Qualifications:</strong></div><ul><li>Education: Bachelor’s degree in Data Science, Animation, Graphic Design, Computer Science, or a related field (or equivalent experience).</li><li>Experience: 10+ years in data visualization, animation, or interactive design, with a portfolio showcasing emotive, data-driven animations.</li><li>Technical Skills:<ul><li>Proficiency in JavaScript, including libraries like D3.js, Three.js, and p5.js for interactive animations.</li><li>Strong command of HTML/CSS and SVG Animation.</li><li>Experience with Adobe After Effects, Adobe Animate, or WebGL for complex visualizations.</li><li>Familiarity with Python or R for data preparation is a plus.</li><li>Creative Skills: Skilled in storyboarding, visual storytelling, and understanding of design principles related to color, typography, and animation timing.</li></ul></li><li>Ability to interpret data and identify key trends, as well as understanding audience psychology to enhance engagement.</li><li>Experience working remotely.</li><li>Prior consulting experience preferred.</li></ul><div><br>At Servant, we believe in the power of diversity and inclusion. We are an equal opportunity employer and encourage individuals from all backgrounds to apply.</div>

Emotive Data Visualization Animator

<div><strong>About The Signatry</strong></div><div>Established in 2000, The Signatry is a global community and ministry dedicated to creating eternal impact through generosity across generations. Since our founding, we have facilitated more than $4 billion in transformational grants for nonprofits around the world.</div><div><strong><br>Position Purpose</strong></div><div>The <strong>Data Analyst </strong>position is responsible for coordinating and building out the data analysis, and quality programs so that our teams can make data-driven decisions.&nbsp; The Data Analyst will perform these duties in conjunction with the Analytics Lead supplying business requirements and other technology team members.</div><div><strong><br>Primary Responsibilities</strong></div><ol><li>Coordinate internal efforts to set data quality standards and key performance indicators for our primary systems and business processes then build out the corresponding dashboard.&nbsp;</li><li>Implement analytic tools to determine system data quality standards and then establish policies, procedures and system enhancements to achieve those standards. &nbsp;</li><li>Understand and advise on system integrations.&nbsp; This requires understanding the data lineage and interdependencies between our foundation and internal systems. &nbsp;</li><li>This role will expand to assure data consistency across all of our systems by implementing a master data management strategy.</li><li>Collaborate across departments to support data analysis and integration. &nbsp;</li><li>As member of the Technology team, support The Signatry initiatives for data privacy and security.</li></ol><div><strong><br>Key Qualifications and Skills&nbsp;</strong></div><ul><li>Alignment with The Signatry values and statement of faith</li><li>Strong, detail-oriented multi-tasker that consistently meets deadlines&nbsp;</li><li>Process-driven, with the ability and desire to learn new systems&nbsp;</li><li>Organized, adaptable, and flexible</li><li>Proactive approach to problem solving, with an eye towards efficiency and a continuous improvement mindset</li><li>Ability to explain technical concepts to inexperienced users using graphs, infographics or other visualization techniques</li><li>Proficient in Microsoft O365, PowerBI, Google Cloud Platform (e.g., BigQuery, Storage, Functions, DataForm), GitHub and SQL</li><li>Establish Key Performance Indicators to monitor and evaluate progress.&nbsp;</li><li>CRM or Finance experience is preferable, but not required</li><li>Experience in data integration and predictive data science is desirable, but not required</li><li>A Bachelor’s Degree is desirable, but not required</li><li>A servant’s heart, with an appreciation for internal and external relationship building</li></ul><div><br><strong>Work Location &nbsp;</strong></div><div>This full-time, salary position can be based in our corporate office in Overland Park, KS in a hybrid in-office/WFH setting; or can be considered a remote position based upon the candidate.</div><div><br></div><div><strong>Pay Range</strong></div><div>$60,000 - $65,000 annually</div><div><br></div><div><strong>Benefits</strong></div><ul><li>Medical, dental, vision, basic life and disability insurance coverage is 100% covered for the employee. Voluntary enrollment for medical, dental and vision for family; Voluntary enrollment for supplemental life, accident and critical illness</li><li>401(k) with 4% employer match</li><li>Flexible “Take as You Need It” paid time off policy</li><li>Stipends/reimbursements towards fitness club memberships, cell phone service, and home internet</li></ul><div>&nbsp;&nbsp;</div><div>The Signatry is a 501(c)(3) tax exempt organization and a religious organization that has not waived any exceptions to any federal, state, or local legislation, including, but not limited to Title VII of the Civil Rights Act of 1964.</div>

<div><strong>Overview</strong></div><div>We're looking for a talented and highly motivated Data Scientist.&nbsp; Living and working in a culture that is more concerned about personal privacy than personal accountability presents great challenges for us and, most importantly, for our members.&nbsp; This is also true with the technology stacks we all use every day, especially the ones that sit right in our pockets. &nbsp;</div><div>&nbsp;</div><div>This landscape presents great challenges for us and we need great people with the talent, skill, and desire to take on those challenges.&nbsp; Someone looking to make a positive impact that has an eye toward innovation.&nbsp; Pornography is corrupting hundreds of millions of people.&nbsp; Our goal is to change culture such that people can break free from pornography or never start using it.&nbsp; We don't need "just a Data Scientist." We need someone to build innovative solutions with us that are effective in helping to free people from pornography, work to rebuild trust, and make families strong. One person at a time. One family at a time. &nbsp;</div><div>&nbsp;</div><div>You will be joining a highly skilled team of development and quality assurance staff and collaborate regularly with UI/UX designers to build and expand our applications and services.&nbsp; A team that focuses on providing solutions to optimize performance, scalability, security protocols, and reporting capabilities.&nbsp; A team that is committed to personal and professional growth, learning new technologies, and a passion for excellence.</div><div>&nbsp;</div><div>We're picky about who we bring into the Covenant Eyes family.&nbsp; We're looking for people who are picky about the family they join.&nbsp; If that excites you, we would love to hear from you!&nbsp;</div><div><strong><br>Responsibilities:<br></strong><br></div><div><strong>Summary</strong></div><div>The Data Scientist - Reporting utilizes state-of-the-art data engineering, data science, and business intelligence modeling, analysis, and reporting tools, systems and processes to develop, build, and maintain solutions that serve as the backbone of the Covenant Eyes Accountability Report.</div><div>&nbsp;</div><div>The Data scientist works closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals. They design data modeling processes, create algorithms and predictive models to extract the data the business needs.&nbsp; The Data Scientist works with emotionally taxing and ethically complex data and must be aware pf the psychological impacts these data sets may have on team members.</div><div>&nbsp;</div><div><strong>Essential Duties&nbsp;</strong></div><ul><li>Work collaboratively with stakeholders throughout the organization to identify opportunities for leveraging data to drive reporting solutions.</li><li>Mine and analyze data to drive optimization and improvement of reporting accuracy and clarity.</li><li>Assess the effectiveness and accuracy of new data sources and data gathering techniques in order to continue to deliver clear and effective data to our customers.</li><li>Develop custom data models and algorithms to apply to data sets to better our reporting accuracy based on Product vision.</li><li>Coordinate and collaborate with different functional teams to implement models and monitor outcomes to support company goals</li><li>Develop processes and tools to monitor and analyze model performance and data accuracy.</li><li>Work with the Data Science team of developers, rating specialists, and management to support the goals of Data Science in Tech and at Covenant Eyes.</li></ul><div><strong><br>Qualifications</strong></div><ul><li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science or another quantitative field.</li><li>Strong problem-solving skills.</li><li>Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.</li><li>Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.</li><li>Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.</li><li>Excellent written and verbal communication skills for coordinating across teams.</li><li>Ability to connect data science solutions to their human impact on our members.</li><li>A drive to learn and master new technologies and techniques.</li><li>Most of your time will be spent at a desk using a phone, computer and monitor, and general office equipment. You may be required to reach with hands and arms; sit; stand; talk and hear; use your hands to finger, handle, or feel.</li></ul>

REMOTECHRISTIAN DATA SCIENCEJOBS