Senior AI/ML Data Scientist, People Analytics

BioSpace; Indianapolis (IN); On-site; USD 128,000 - 205,000; Full time

Job summary

Lilly is seeking a Senior Data Scientist to lead advanced analytics, ML, and AI for the People Intelligence platform. You will design predictive, probabilistic, and explanatory models turning workforce data into decision-ready insights for HR leaders and the business.

Responsibilities include building scalable models, governance standards, and AI-enabled workflows; collaborating with HR leaders, IT, and governance teams to deliver actionable intelligence across the enterprise.

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.

Responsibilities

• 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
• 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
• 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
• 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

Skills

Python

Statistical inference

Experimental design

Data quality assessment

Education

Bachelor's degree in data science, statistics, machine learning or related field

Tools

Power BI

Fabric

Azure AI

Fabric Data Agents

Spark

Job description

Lilly is seeking a Senior Data Scientist to lead advanced analytics, ML, and AI for the People Intelligence platform. You will design predictive, probabilistic, and explanatory models turning workforce data into decision-ready insights for HR leaders and the business.

Responsibilities include building scalable models, governance standards, and AI-enabled workflows; collaborating with HR leaders, IT, and governance teams to deliver actionable intelligence across the enterprise.