Associate Director – AI/ML Data Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $127.5k - $204.6k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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Eli Lilly and Company

WebsiteLinkedInAll Job Openings

10,000+ employees

💊 Pharmaceuticals

🏥 Healthcare

🧬 Biotechnology

💰 $6.5M Post-IPO Debt - Eli Lilly on 2024-02

Pharmaceuticals • Healthcare • Biotechnology

Eli Lilly and Company is a multinational pharmaceutical company that researches, develops, manufactures, and markets prescription medicines across multiple therapeutic areas including diabetes, oncology, immunology, neuroscience, and pain. Headquartered in Indianapolis, Indiana, Lilly is known for its extensive R&D, clinical development, and global commercialization of biologic and small-molecule drugs. The company focuses on drug discovery, clinical trials, regulatory approvals, and large-scale pharmaceutical manufacturing and distribution.

📋 Description

• 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 • Translate ambiguous workforce questions into 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 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 with governance, privacy, legal, ER, and responsible-AI teams • Communicate assumptions, limitations, and uncertainty, and maintain reproducible analytical methods • Advise HR leaders, HRBPs, Centers of Excellence, and product owners • Convert analyses into reusable models, metrics, semantic-model enhancements, AI skills, or enterprise products • Coach analysts and technical team members in advanced analytical methods • Lead complex, ambiguous, enterprise-level analytical initiatives • Establish technical standards and influence People Intelligence strategy • Create reusable capabilities, mentor others, and improve team analytical maturity • Influence senior stakeholders through evidence and recommendations

🎯 Requirements

• 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 • Advanced degree in a quantitative or behavioral field (eg Statistics, Data Science or related) strongly preferred • AI Certification highly desirable • Experience working with large, complex, longitudinal datasets • 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

🏖️ Benefits

• Company bonus, depending in part on company and individual performance • Company-sponsored 401(k) • Pension • Vacation benefits • Medical, dental, vision and prescription drug benefits • Flexible benefits, including healthcare and/or dependent day care flexible spending accounts • Life insurance and death benefits • Certain time off and leave of absence benefits • Well-being benefits, including employee assistance program, fitness benefits, and employee clubs and activities • Employee resource groups and support networks