Associate Director - AI/ML Data Scientist
Eli Lilly and Company
August 25, 2026
Remote friendly (Indianapolis, IN)
United States
IT
Position Overview:
Senior Data Scientist to develop advanced analytics, machine learning, and AI that convert governed workforce data into actionable intelligence for Lilly’s People Intelligence platform.
What You’ll Be Doing:
- Design, validate, and operationalize statistical/ML/AI models for workforce use cases.
- Build predictive capabilities for attrition, talent risk, employee experience, hiring, mobility, skills, org health, and workforce planning.
- Use regression/classification/clustering/forecasting, causal inference, NLP, anomaly detection, and scenario modeling.
- Develop AI-enabled analytics (risk signals, probabilistic guidance, recommended follow-ups); create reusable AI skills/workflows/prompts.
- Build semantic models and make models AI-ready for Fabric; integrate into Fabric Data Agents, Power BI, MCP, and approved enterprise experiences.
- Establish governance/measurement: validation, monitoring, explainability, retraining/retirement; define performance thresholds; manage bias/fairness/privacy/unintended consequences; ensure reproducible methods.
- Advise HR leaders and product owners; translate findings into decision-oriented language; convert analyses into reusable models/metrics/products; coach others.
Key Deliverables:
Predictive/causal workforce models; governed semantic data models; generative AI text analytics (sentiment/theme extraction); model accuracy/testing frameworks; monitoring/governance standards; reusable ML pipelines/feature stores; scenario planning/workforce simulations; explainable AI outputs.
Basic Qualifications:
- BS in data science/statistics/ML or related.
- 4+ years Python proficiency; develop/validate/operationalize predictive models.
- 5+ years statistical inference, experimental design, model evaluation, data-quality assessment.
Strongly Preferred:
- Advanced degree (quantitative/behavioral) and/or AI certification.
- Large complex longitudinal datasets; executive communication.
- Workforce/people analytics; independent judgment with sensitive employee data.
- Microsoft Fabric/Spark/Power BI/Azure AI/Fabric Data Agents.
- NLP, generative AI/RAG, causal inference, organizational network analysis, workforce forecasting; responsible AI/privacy/governance familiarity.
Additional Information (Benefits):
- Eligible for company bonus (full-time equivalent).
- Comprehensive benefits: 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits (e.g., FSA), life insurance, time off/leave of absence, well-being benefits (e.g., EAP, fitness, employee clubs/activities).
Senior Data Scientist to develop advanced analytics, machine learning, and AI that convert governed workforce data into actionable intelligence for Lilly’s People Intelligence platform.
What You’ll Be Doing:
- Design, validate, and operationalize statistical/ML/AI models for workforce use cases.
- Build predictive capabilities for attrition, talent risk, employee experience, hiring, mobility, skills, org health, and workforce planning.
- Use regression/classification/clustering/forecasting, causal inference, NLP, anomaly detection, and scenario modeling.
- Develop AI-enabled analytics (risk signals, probabilistic guidance, recommended follow-ups); create reusable AI skills/workflows/prompts.
- Build semantic models and make models AI-ready for Fabric; integrate into Fabric Data Agents, Power BI, MCP, and approved enterprise experiences.
- Establish governance/measurement: validation, monitoring, explainability, retraining/retirement; define performance thresholds; manage bias/fairness/privacy/unintended consequences; ensure reproducible methods.
- Advise HR leaders and product owners; translate findings into decision-oriented language; convert analyses into reusable models/metrics/products; coach others.
Key Deliverables:
Predictive/causal workforce models; governed semantic data models; generative AI text analytics (sentiment/theme extraction); model accuracy/testing frameworks; monitoring/governance standards; reusable ML pipelines/feature stores; scenario planning/workforce simulations; explainable AI outputs.
Basic Qualifications:
- BS in data science/statistics/ML or related.
- 4+ years Python proficiency; develop/validate/operationalize predictive models.
- 5+ years statistical inference, experimental design, model evaluation, data-quality assessment.
Strongly Preferred:
- Advanced degree (quantitative/behavioral) and/or AI certification.
- Large complex longitudinal datasets; executive communication.
- Workforce/people analytics; independent judgment with sensitive employee data.
- Microsoft Fabric/Spark/Power BI/Azure AI/Fabric Data Agents.
- NLP, generative AI/RAG, causal inference, organizational network analysis, workforce forecasting; responsible AI/privacy/governance familiarity.
Additional Information (Benefits):
- Eligible for company bonus (full-time equivalent).
- Comprehensive benefits: 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits (e.g., FSA), life insurance, time off/leave of absence, well-being benefits (e.g., EAP, fitness, employee clubs/activities).