Position OverviewWe're looking for a Senior Data Scientist to lead the development of advanced analytics, machine learning, and AI capabilities that turn governed workforce data into actionable intelligence. In this role, you'll design predictive, probabilistic, and explanatory models that strengthen the accuracy and reliability of Lilly's People Intelligence platform - the enterprise capability that turns workforce data into decision-ready insight for HR leaders and the business.
What You'll Be DoingAdvanced Analytics & Data Science- Design, validate, and operationalize statistical, machine-learning, and AI models for workforce use cases
- Develop predictive capabilities spanning attrition, talent risk, employee experience, hiring, mobility, skills, organizational health, and workforce planning
- Apply regression, classification, clustering, forecasting, causal inference, NLP, anomaly detection, and scenario modeling as appropriate
- Translate ambiguous workforce questions into clear analytical problems, hypotheses, methods, and measurable outcomes
AI-Enabled People Intelligence- Develop analytical logic for directional insights, risk signals, probabilistic guidance, and recommended follow-up questions
- Create and validate reusable AI skills, analytical workflows, prompts, and reasoning frameworks
- Build semantic models and drive Fabric architecture to be AI ready
- Evaluate the factual accuracy, analytical validity, consistency, and business usefulness of AI-generated responses
- Integrate models into Fabric Data Agents, Power BI, MCP, and other approved enterprise experiences
Measurement & Governance- Establish standards for validation, documentation, monitoring, explainability, retraining, and retirement
- Define performance measures, confidence levels, thresholds, and evaluation frameworks
- Identify bias, fairness, privacy, and unintended-consequence risks; partner with governance, privacy, legal, ER, and responsible-AI teams
- Communicate assumptions, limitations, and uncertainty, and maintain reproducible analytical methods
Consulting & Technical Leadership- Serve as a senior analytical advisor to HR leaders, HRBPs, Centers of Excellence, and product owners
- Distinguish descriptive findings, correlations, predictions, and causal conclusions in decision-oriented language
- Convert high-value analyses into reusable models, metrics, semantic-model enhancements, AI skills, or enterprise products
- Coach analysts and technical team members in advanced analytical methods
Key Deliverables- Predictive and causal workforce models - attrition/flight-risk forecasting, hiring-funnel and mobility prediction
- Governed semantic data models - reusable, self-service-ready data models spanning workforce, survey, and talent domains
- Generative AI-enabled employee-experience and text-analytics capabilities - sentiment/theme extraction from check-in notes, Pulse, and Leadership Compass verbatims
- Model accuracy, testing, and response-evaluation frameworks - validation pipelines benchmarking model outputs before production release
- Model-monitoring, model-governance, and responsible-AI standards - drift detection, bias/fairness checks, documented model lineage
- Reusable ML pipelines, feature stores, and data-science assets - production-grade, shared across workforce use cases rather than rebuilt per project
- Scenario-planning and workforce-simulation models - what-if modeling for merit, span-of-control, and org-design decisions
- Explainable AI (XAI) outputs and responsible-use guidance - interpretable model outputs paired with documented guardrails for HR decision-making
Basic Qualifications- Bachelors Degree in data science, statistics, machine learning or related field.
- 4 years minimum Python proficiency and experience developing, validating, and operationalizing predictive models
- 5 years of statistical inference, experimental design, model evaluation, and data-quality assessment experience.
Additional Skills / Strongly Preferred- Advanced degree in a quantitative or behavioral field (eg Statistics, Data Science or related)
- AI Certification highly desirable
- Experience working with large, complex, longitudinal datasets, with strong executive-level communication skills
- Ability to operate independently, influence without authority, and exercise strong judgment with sensitive employee-level data
- Workforce or people analytics experience
- Experience with Microsoft Fabric, Spark, Power BI, Azure AI, or Fabric Data Agents
- Experience with NLP, generative AI, RAG, causal inference, organizational network analysis, or workforce forecasting
- Familiarity with responsible AI, privacy, and employment-model governance standards
Additional Information- Independently leads complex, ambiguous, enterprise-level analytical initiatives
- Establishes technical standards and influences People Intelligence strategy across workforce domains
- Creates reusable capabilities, mentors others, and improves team analytical maturity
- Influences senior stakeholders through credible evidence and clear recommendations
- Balances innovation, governance, responsible use, and measurable business value
Measures of SuccessImproved insight accuracy and usefulness across the People Intelligence platform; operationalized analytical capabilities; adoption in workforce decisions; model performance, stability, and explainability; reduced one-time analysis through reusable assets; demonstrated business outcomes; and compliance with privacy, responsible-AI, and analytical-governance standards.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$127,500 - $204,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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