Associate Director - AI/ML Data Scientist

About the role

We'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.

Responsibilities

• Advanced 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:
  • 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

Qualifications

• Bachelor's 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
• Familiarity with responsible AI, privacy, and employment-model governance standards