Lilly is seeking to solve real-world business problems with cutting-edge data science, specifically in the area of sales and marketing analytics, to improve field sales effectiveness and patient outcomes.
Requirements
- 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.
Responsibilities
- 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.
- 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.
- Design and deliver Generative AI workflows using Large Language Models (LLMs)
Other
- 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.
- Strong communication and collaboration skills across geographically dispersed teams.
- Ability to manage multiple projects with agility and precision.
- Demonstrated thought leadership in applying AI/ML to commercial use cases.
