Data Scientist

• Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
• Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science.
• Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization.
• Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.

Senior Data Scientist, Credit Risk Modeling

• Gather, preprocess, and validate datasets from internal and external sources.
• Identify trends, patterns, and anomalies using statistical and visual techniques.
• Build and evaluate predictive models using machine learning algorithms.
• Create dashboards and visual reports to communicate findings to stakeholders.
• Maintain clear records of methodologies, code, and project outcomes.
• Work closely with cross-functional teams to align data solutions with business needs.

Data Science, AI Intern

• Bridge the gap between complex datasets and strategic action.
• Synthesize information from various external sources to develop visibility and insights into search recall gaps and emerging topic trends.
• Inform Wikimedia’s strategy for ensuring that people continue to find the content they need.
• Integrate fragmented data to create a unified view of how users discover and use content.
• Translate analytics and complex trends into actionable narratives.
• Develop automated systems to detect under-indexed content.
• Establish metrics and frameworks for content utilization within Large Language Models.
• Collaborate with product leaders to set goals and track success.
• Assess efficacy of new initiatives through experiment design and analysis
• Interpret website performance data to inform UX/UI enhancements.

Senior Data Scientist, Ecosystems

• Serve as a technical data lead on product teams leveraging automation and AI/ML technologies to solve real-world government challenges
• Lead the design of data architectures for enterprise-scale solutions
• Partner with internal stakeholders and client teams to define requirements, identify gaps, and craft differentiated data solutions
• Research and apply emerging technologies in AI/ML, data analytics, cloud, cybersecurity, agile development, DevSecOps, and digital engineering
• Contribute to the development of technical concepts for written proposal content (RFIs, RFPs, white papers, etc.) and deliver technical presentations to clients and partners
• Provide technical thought leadership to customers and internal teams
• Collaborate with SMEs and product teams to define architecture, implementation approaches, and operational concepts for federal solution programs

Federal Data Scientist – Automation, Integration

• Support data collection, cleaning, transformation, and exploratory analysis for ongoing projects.
• Assist in developing, testing, and improving machine learning and LLM models.
• Perform deep-dive analysis to evaluate model behavior, output quality, and performance across different approaches.
• Help refine prompts, evaluation criteria, and testing workflows to improve consistency and outcomes.
• Partner with cross-functional teams to translate business questions into analytical solutions.
• Build reports, visualizations, and dashboards to communicate insights to technical and non-technical stakeholders.
• Document methods, experiment results, and recommendations clearly and thoroughly.
• Participate in team meetings, project discussions, and implementation reviews.

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Senior Data Scientist, Credit Risk Modeling

Data Science, AI Intern

Senior Data Scientist, Ecosystems

Federal Data Scientist – Automation, Integration

Innovation, Data Science Internship