Eli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana, dedicated to improving lives through innovative medicines. They are seeking a highly skilled Data Scientist to join their Field Analytics team, responsible for building and deploying AI solutions that enhance sales effectiveness and patient outcomes.
Build and deploy end-to-end machine learning and AI solutions for sales and marketing analytics.
Apply statistical modeling, predictive analytics, and optimization techniques to solve complex business challenges.
Leverage AWS cloud services for scalable data processing and model deployment.
Use Databricks for collaborative development and advanced analytics workflows.
Collaborate with cross-functional teams to translate business needs into technical solutions.
Apply advanced optimization methods (e.g., Branch and Bound, MILP) to problems like territory design, call planning, and resource allocation.
Develop and maintain production-grade pipelines using CI/CD tools and automation platforms.
Stay current with emerging trends in generative AI, NLP, and deep learning.
Design and deliver Generative AI workflows using Large Language Models (LLMs), including steps such as model and architecture selection, vector search implementation, evaluation strategies, and inferencing pipelines.
Get the opportunity to build industry-first products leveraging cutting-edge research approaches and best practices in AI and machine learning.
Deliver measurable business impact through data-driven insights and model deployment.
Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Manage multiple projects with agility and precision.
Demonstrate thought leadership in applying AI/ML to commercial use cases.
Qualification
Required
Strong foundation in statistics, machine learning, and AI workflows.
Understanding of AI Agentic platforms and frameworks end-to-end.
Proven experience deploying models in production environments.
Deep expertise in Python or R, and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
Hands-on experience with AWS (e.g., S3, SageMaker, Lambda, EC2).
Experience with Databricks (plus).
Familiarity with optimization techniques including Branch and Bound, TSP, MILP programming. (strong plus).
Solid understanding of NLP tools and techniques.
Experience with relation and non-relational databases and data processing.
Agile development experience with CI/CD tools like Jenkins, GitHub.
Master’s degree in computer science, Data Science, Applied Mathematics, or related quantitative field with 2+ years of experience OR Bachelor’s degree with 4+ years of experience in data science or analytics.
Preferred
One+ years' of hands-on experience developing and deploying AI/ML models using modern frameworks such as TensorFlow, PyTorch, or Scikit-learn, with demonstrated ability to take models from prototype to production environments.
Experience with agentic AI systems and multi-agent frameworks such as CrewAI, AutoGen, or LangGraph, including building autonomous workflows, agent orchestration, and implementing AI systems capable of task planning and execution with minimal human intervention.
AWS Solution Architect or AI practitioner certification.
Experience in healthcare or life sciences.
Familiarity with Gen AI workflows, Databricks, Optimization techniques.
Strong communication and collaboration skills across geographically dispersed teams.
Benefit
Company bonus (depending, in part, on company and individual performance)
Eligibility to participate in a company-sponsored 401(k)
Pension
Vacation benefits
Eligibility for medical, dental, vision and prescription drug benefits
Flexible benefits (e.g., 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 (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
We're a medicine company turning science into healing to make life better for people around the world.
