Data Scientist

Lilly

Indianapolis, Indiana, US
Base: $66,000 - $165,000; bonus/equity: compyny bo...
Python, r, core data science libraries
Machine learning frameworks and model deployment
Nlp and generative ai solutions
Apply data science, machine learning, and AI techniques to solve real business problems from building agents to automate manual regulatory workflows and optimizing clinical trial processes to building predictive models that drive smarter decisions across the portfolio

Job Summary

  • Apply data science, machine learning, and AI techniques to solve real business problems from building agents to automate manual regulatory workflows and optimizing clinical trial processes to building predictive models that drive smarter decisions across the portfolio.
  • Work across the portfolio to identify opportunities where data science and AI can create measurable business value, analyzing complex datasets to uncover patterns, build predictive models, and develop AI-powered solutions.
  • Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance), and Lilly offers a comprehensive benefit program including 401(k), pension, vacation, medical, dental, vision, life insurance, and well-being benefits.

Matching Summary

Apply data science, machine learning, and AI techniques to solve real business problems from building agents to automate manual regulatory workflows and optimizing clinical trial processes to building predictive models that drive smarter decisions across the portfolio.

Salary

Base: $66,000 - $165,000; Bonus/Equity: Company bonus; Benefits: Comprehensive benefit program

Skills & Requirements

Must-have

  • Python, R, core data science libraries
  • Machine learning frameworks and model deployment
  • NLP and generative AI solutions
  • AWS infrastructure deployment
  • Statistical methods and experimental design
  • AI agents and agentic workflows

Nice-to-have

  • Partnering with business stakeholders
  • Communicating findings to diverse audiences
  • Staying current with emerging techniques
  • Collaborative mindset with cross-functional teams

Key Requirements

  • Bachelor's degree in quantitative field
  • 1 year professional data science experience
  • Authorized to work in the US full-time

Work Rights

Must be authorized to work in the United States

Tailored Resume

Cover Letter