<div><strong>About the Role:<br></strong><br></div><div>Are you mad-skilled at building amazing technical solutions yet burned out because your efforts sell widgets you don’t care about? Passionate about your Christian faith and want to put that to work making a difference for people around the world? Come join the IDX team as a senior data scientist / NLP Engineer!<br><br></div><div>The SIL Innovation team (IDX) at SIL International is looking for a senior data scientist / NLP engineer to help advance AI technology expanding language possibilities designed to enable a quarter of the world’s population to flourish using their mother language. This candidate will be part of a faith-based nonprofit organization committed to serving language communities worldwide as they build capacity for sustainable language development. The position is a paid salary position, offers exceptional real-world learning opportunities, and involves work on state-of-the-art (SOTA) NLP solutions and modern infrastructure.</div><div><br>The senior data scientist / NLP engineer is seeking a full-time engineering position in which they will gain non-profit, business and technical experience. They enjoy supporting a team that solves complex problems to generate valuable insights. They communicate, create, organize, and advocate the impact of Bible Translation as a critical element of the Great Commission.<br><br></div><div>The Senior Data Scientist / NLP Engineer works on real-world problems in natural language processing (NLP) for text and speech/voice. This includes extending and improving on NLP models and methods using pooled language/voice data from SIL and its partners (in 1,600+ languages). The output of this work will be applied by SIL, other NGOs, and commercial entities in technology/content creation for local language communities.<br><br>Work Location: Remote</div><div>Pay: $120,000.00 - $155,000.00 per year<br>Job Type: Full-time</div><div><strong><br>What You'll Be Doing:<br></strong><br></div><ul><li>Must be able to successfully fulfill the following tasks:</li><li>Participate in research in machine intelligence and machine learning applications</li><li>Develop solutions for real world natural language processing problems</li><li>Help curate and pre-process pooled data from SIL and its partners such that is can be utilized in NLP/ML/AI research and development</li><li>Advise and collaborate with SIL Data Scientist(s)</li><li>Lead and contribute to the design and implementation of NLP models and algorithms that can scale across diverse languages and dialects, taking into consideration the linguistic variations and complexities present in different language communities.</li><li>Collaborate with cross-functional teams, including linguists, on-the-ground Bible translation teams (consultants, mother tongue translators), software engineers, and domain experts, to identify language-specific challenges and develop innovative NLP solutions to address them.</li><li>Stay up-to-date with the latest advancements in NLP and machine learning research, and integrate cutting-edge techniques into the existing workflow to improve the efficiency and accuracy of language processing models.</li><li>Engage in regular knowledge-sharing sessions with team members, promoting a culture of continuous learning and professional development.</li><li>Contribute to the creation of technical documentation and research papers to disseminate findings and contribute to the academic community.</li><li>Collaborate with partner organizations and stakeholders to understand their specific NLP requirements and develop tailored solutions that cater to their needs.</li><li>Participate in technical discussions and brainstorming sessions to provide insights and recommendations for improving the overall AI technology strategy of SIL Innovation team.</li><li>Assist in exploring potential funding opportunities and grants that align with the organization's mission and research goals.</li></ul><div><br></div><div><strong>What We're Looking For:<br></strong><br></div><ul><li>Available full time starting asap.</li><li>General availability during US business hours Monday – Friday, 8AM-5PM (central time); fairly flexible.</li><li>Bilingual and multicultural experience is preferred</li><li>Position can be remote or in person in the Dallas area (SIL International Headquarters).</li><li>Occasional face to face meetings: up to 25% travel, including international trips</li><li>Strong organizational, communication skills</li><li>Enjoy working with a team or independently with minimal supervision</li><li>Leadership skills and ambitious attitude</li><li>Passion for global missions</li><li>Experience with Google GSuite</li><li>Able to complete and pass all required screens for employment</li><li>U.S. Citizen or Permanent Resident (Deferred action and temporary / permanent resident do not qualify)</li><li>Able to pass a criminal background check</li></ul><div><br></div><div><strong>Required experience/ education:</strong></div><ul><li>Python programming, including experience with data manipulation, algorithm development, and NLP libraries/frameworks.</li><li>Command line (e.g., bash) to navigate file systems, edit files, connect remotely to servers, etc.</li><li>Cloud infrastructure usage and management (e.g., AWS, GCP, or Digital Ocean), for deploying NLP solutions at scale.</li><li>Ability to work effectively in a collaborative team environment, utilizing office suites like Google Docs and shared drives such as Google Drive for efficient communication and documentation.</li><li>Degree in computer science or another quantitative discipline (physics, engineering, etc.) and/or 5 years of experience.</li><li>Previous projects demonstrating the ability to develop and deploy real world APIs or other software products.</li></ul><div><br></div><div><strong><br>Preferred experience/ education:</strong></div><ul><li>Advanced degree (Master's or Ph.D.) in computer science, computational linguistics, or a related field, with a focus on natural language processing or machine learning.</li><li>Go programming experience.</li><li>Proven track record of research publications or contributions to the NLP/Machine Learning community, such as academic papers, conference presentations, or open-source projects.</li><li>Experience with deep learning frameworks like TensorFlow or PyTorch / HuggingFace, and the ability to fine-tune pre-trained language models for specific NLP tasks.</li><li>Strong understanding of linguistics, syntax, and semantics, enabling effective collaboration with linguistic experts within SIL International.</li><li>Familiarity with Agile development methodologies and project management tools for efficient project execution and delivery.</li><li>Knowledge of other programming languages commonly used in NLP, such as Java, C++, or JavaScript, to facilitate integration with existing systems or applications.</li><li>Prior experience working with multi-language or low-resource language datasets, addressing challenges in data scarcity and language diversity.</li><li>Demonstrated ability to conduct end-to-end model evaluation and performance optimization, considering real-world constraints and deployment scenarios.</li></ul><div><br></div><div><strong>Extra credit experience:</strong></div><ul><li>Proven track record of public presentations on AI-related topics, including participation in podcasts, conferences, or speaking engagements.</li><li>Previous leadership and management experience, including leading NLP research teams or managing complex projects with interdisciplinary stakeholders.</li><li>Experience in collaborating with non-profit organizations or faith-based initiatives, demonstrating a passion for using AI technology to serve global language communities.</li><li>Involvement in community-driven AI initiatives or mentorship programs, promoting knowledge sharing and diversity in the AI field.</li></ul><div><br></div><div>Benefits:</div><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Flexible schedule</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Parental leave</li><li>Professional development assistance</li><li>Retirement plan</li><li>Vision insurance</li></ul><div><br>Schedule:</div><ul><li>Monday to Friday</li></ul><div><br>Education:</div><ul><li>Master's (Preferred)</li></ul><div><br>Experience:</div><ul><li>Python: 1 year (Preferred)</li><li>SQL: 1 year (Preferred)</li></ul>

Senior Data Scientist - AI

<div><strong>Position Summary:</strong></div><div>The Principal Data Scientist is responsible for leading data strategy and cultivating a culture of data-driven decision-making throughout the organization. Collaborate with cross-functional teams to gather, analyze, and interpret complex data sets into clear, actionable insights, helping to shape crucial business initiatives and propelling the organization towards its strategic objectives.<br><br></div><div><strong>Essential Functions:</strong></div><ol><li>Spearhead the development and implementation of data strategy to unlock the full potential of data-driven decision-making across the organization.</li><li>Lead the design, development, and deployment of advanced analytical models and algorithms to solve complex business problems.</li><li>Collaborate closely with cross-functional teams to identify business objectives, define data requirements, and formulate effective data-driven solutions.</li><li>Gather, analyze, and interpret complex and diverse datasets from various sources, employing SQL, Snowflake, Alteryx, and Five Tran to ensure data integrity and accuracy.</li><li>Build and oversee ETL (Extract, Transform, Load) processes and data migration projects, including designing, developing, testing, and deploying robust data pipelines and workflows to ensure accurate and efficient migration of data across multiple systems.</li><li>Leverage the power of Tableau and other innovative visualization tools to create insightful, interactive dashboards and reports that facilitate data-driven insights and decision-making.</li><li>Apply machine learning techniques to build predictive models, classification algorithms, and recommend optimal business strategies.</li><li>Conduct thorough exploratory data analysis to discover meaningful patterns, trends, and anomalies, shedding light on critical business insights and opportunities.</li><li>Communicate findings and insights effectively to both technical and non-technical stakeholders through presentations and reports.</li><li>Collaborate closely with data engineers to ensure the availability, accuracy, and security of data infrastructure and storage solutions, including Blob Storage and cloud-based platforms.</li><li>Stay up to date with the latest industry trends, emerging technologies, and best practices in data science, data architecture, and analytics, applying them to enhance our data strategy and methodologies.</li><li>Mentor and guide junior data scientists in their professional growth and development.</li><li>Establish and implement policies for effective data management, ensuring privacy, security, and adherence to relevant ethical standards and regulations.</li><li>Advocate for a data-driven culture within the organization, driving the understanding, integration, and application of data science methodologies across different business units.</li><li>Engage with senior leadership and stakeholders to align data science initiatives with organizational goals and objectives, ensuring transparency and mutual understanding.</li><li>Develop and track Key Performance Indicators (KPIs) to measure effectiveness of projects and strategy.</li><li>Regularly review and maintain data systems and models to ensure their continued accuracy, efficiency, and relevancy.</li><li>Foster a culture of continuous learning and improvement within the data science team, regularly organizing team training and knowledge sharing sessions.</li><li>Ensure the robustness and reliability of data science code and systems through comprehensive testing strategies, including unit tests, regression tests, and validation against known benchmarks.</li></ol><div>&nbsp;</div><div><strong>Study or Knowledge or Experience:</strong></div><ul><li>Master’s degree or equivalent experience in Data Science, Computer Science, and Statistics.</li><li>Minimum of 10 years of experience in data science, data architecture, and analytics.</li><li>Proficiency in SQL and hands-on experience working with databases and data warehousing systems, with expertise in Snowflake.</li><li>Strong expertise in data manipulation, transformation, and integration using tools such as Alteryx and FiveTran.</li><li>Advanced proficiency in Tableau or similar visualization tools, enabling the creation of insightful and visually appealing dashboards and reports.</li><li>Extensive experience working with Salesforce and extracting meaningful insights from its data.</li><li>Familiarity with Blob Storage and cloud-based data storage solutions.</li><li>Solid understanding and practical application of machine learning techniques, including regression, clustering, classification, and recommendation systems.</li><li>Proficiency in Python or R for developing and deploying machine learning models.</li><li>Strong analytical, problem-solving, and critical thinking skills, with a strong attention to detail.</li><li>Excellent communication and presentation skills, with the ability to effectively convey complex concepts to technical and non-technical stakeholders.</li><li>Proven ability to lead and mentor a team of data scientists, fostering their growth and development.</li><li>Demonstrated experience in data strategy development and driving data-driven decision-making within an organization.</li><li>Knowledge of Agile methodologies and project management practices.</li><li>Strive to live a life consistent with Biblical principles, engaged with the Bible on a consistent basis and demonstrate continued growth and spiritual development.&nbsp;</li></ul><div>&nbsp;</div><div><strong>Internal Work Environment:</strong></div><div>Develops, maintains, and improves communication channels among various teams and departments to ensure effective flow of information throughout the organization. Facilitates cross-functional collaboration and teamwork. Handles sensitive situations or controversial issues with tact, discretion, and sensitivity. Exhibits excellent judgment regarding the appropriate content and timing of communications. Creates and delivers major presentations for company-wide meetings, board meetings, and other high-level gatherings.<br><br></div><div><strong>External Communication:</strong></div><div>Establishes and maintains communication with vendors, partners, and other external stakeholders. Understands their needs, expectations, and requirements to foster positive and productive relationships and model Biblical principles.<br><br></div><div><strong>Leadership Responsibility:</strong></div><div>Provides technical and thought leadership and expert guidance on appropriate statistical, machine learning, and data mining techniques to solve complex business problems. Shares knowledge and provide mentorship to junior data scientists and other team members, helping to uplift the overall data literacy and capability of the organization.<br><br></div><div><strong>Stewardship of Resources:</strong></div><div>Contribute to the budget planning process for data science initiatives, providing expert input on anticipated resources required for data acquisition, storage, analysis, as well as necessary tools and technologies. Offer insightful feedback to ensure cost-effectiveness and alignment with project goals.<br><br></div><div><strong>Miscellaneous:</strong></div><div>Our Daily Bread Ministries is a nondenominational nonprofit with staff and volunteers across the globe and resources distributed in 150 countries and in more than 50 languages. As a global ministry faithful to biblical principles, our commitment to diversity is reflected in our ministry's mission, vision, values, and ethos. Occasional domestic travel within the United States.</div>

Senior Director Data Scientist

<div>At Life.Church, we exist to lead people to become fully devoted followers of Christ. It’s been our mission since 1996 and has guided us every day. Leading people isn’t just an expectation; it’s a necessity.&nbsp; It’s a cornerstone of our culture. That's why we’re always seeking leaders—leaders like you—to bring your skills to life. We are one church meeting in multiple locations, and we want to help you become the person God made you to be.&nbsp;</div><div><br></div><div>The Technology Solutions Team equips the Life.Church staff with the resources and technology that allow the team to know people, tell their stories, and invite others to use their gifts to build the church. We work to empower ministry through the use of technology.</div><div><br></div><div>The Data Insights Data Engineer is responsible for implementing methods to improve data reliability and quality. This role combines raw information from different sources to create consistent and machine-readable formats. Data Engineers are responsible for the processes of installation, data back up, and routine updates for databases. They will also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling.<br><br></div><div><strong>What You'll Do</strong></div><ul><li>Data management.</li><li>Responsible for installation, back-ups, and performing routine updates on organizational databases.</li><li>Maintain data integrity through high-performance optimization.</li><li>Manage system integrations to ensure an accurate flow of data while maintaining uptime rates.</li><li>Data modeling.</li><li>Build and implement data mapping, forecasting, and queries.</li><li>Machine Learning and AI.</li><li>Implement and manage ETL and data warehouse processes to ensure clean sources of data for analysts to report from.</li></ul><div><br></div><div><strong>Skills Needed to Succeed</strong></div><ul><li>Excellent verbal, written, and interpersonal communication skills to maintain relationships and partnerships.</li><li>Analytical and problem-solving skills.</li><li>Maintain a systematic and organized approach to completing assignments accurately, thoroughly, and timely.</li><li>Clearly explain complicated and detailed processes in a concise and simple way.</li><li>Ability to self-motivate, take initiative, make independent decisions, and problem-solve.</li><li>Ability to collaborate in a team environment and work independently.</li><li>Strong programming skills, particularly in languages such as Python and SQL.</li><li>Cloud computing skills(Google Cloud).</li></ul><div><br></div><div><strong>Benefits We Offer</strong></div><ul><li>Paid parental leave, including maternity, paternity, and adoption leave.</li><li>Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons.&nbsp;</li><li>Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health.&nbsp;</li><li>Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase.&nbsp;</li><li>Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.</li><li>Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health.</li><li>Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn’t stop there—the more years on staff, the greater the investment!&nbsp;</li><li>$160 annually in development dollars for team members to invest in their professional growth.&nbsp;</li><li>Casual dress and work environment.</li><li>Flexible work schedule.</li><li><a href="https://www.life.church/careers/benefits/">And much more!</a></li></ul><div><br></div><div><strong>Our Beliefs, Culture, and Commitment to Diversity</strong></div><div>At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual’s capacity to represent Life.Church’s beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or intern at Life.Church is to uphold and represent the beliefs of Life.Church. <a href="https://www.life.church/who-we-are/our-beliefs/">Learn more about what we believe at Life.Church</a>.&nbsp;</div><div><br></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 to reaching the world for Christ. To learn more about how we strengthen our team through diversity, <a href="https://www.life.church/careers/">visit our careers page</a>.&nbsp;</div><div><br></div><div><em>All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.&nbsp;</em></div>

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