The Senior Data Scientist role at Elanco is focused on transforming complex data into strategic insights and scalable solutions that drive business value. This position is part of the Enterprise Analytics and Governance organization and requires a combination of advanced analytics, operations research, and AI/ML expertise. The ideal candidate will work closely with cross-functional business stakeholders to translate strategic objectives into actionable analytical solutions. This role also involves providing technical leadership and mentorship to junior team members.

• PhD in Statistics, Data Science, Computer Science, Operations Research or a related STEM field with 2+ years of experience, or a Master’s degree with 5+ years of relevant experience.
• Strong expertise in machine learning, deep learning, statistics and/or optimization.
• Advanced proficiency in Python (and/or R), SQL, with experience building and maintaining data pipelines in Databricks or similar environments.
• Solid foundation in software engineering best practices, including Git, unit and integration testing, CI/CD and model deployment capabilities.
• Proficiency in data visualization tools such as Power BI, Tableau or Databricks Dashboard.
• Proven ability to deploy and manage high-performance models in production environments using machine learning ops tools and technologies.

• Lead end-to-end data science initiatives from problem definition and data exploration to deployment of scalable, production-grade solutions.
• Apply advanced modeling techniques, including machine learning, deep learning, statistical methods and operations research to solve complex business problems.
• Partner with cross-functional business stakeholders to translate strategic objectives into actionable analytical solutions.
• Design and develop robust data pipelines and models leveraging platforms such as Databricks, Azure Synapse, and SAP.
• Build and maintain interactive dashboards and data products using Databricks dashboard, Power BI or Tableau to enable real-time decision-making.
• Implement best practices in software engineering, including modular code design, testing, version control, and CI/CD pipelines.
• Ensure model transparency, explainability and interpretability using Explainable AI approaches.
• Monitor, evaluate, and optimize model performance in production environments, including establishing observability and feedback loops.
• Communicate complex analytical insights clearly to both technical and non-technical stakeholders.
• Provide technical leadership and mentorship to junior team members.

• Employees at Elanco are often offered competitive compensation with annual bonus and equity eligibility, retirement plans (including a U.S. 401(k)), and comprehensive health coverage—medical, dental, vision, company-paid life and disability—and even pet insurance. Time-off and flexibility typically include generous PTO, U.S. mid-year and year-end paid shutdown weeks, parental leave, and flexible/remote work options. Employees also benefit from strong development programs (onboarding, course libraries, mentorship, nine ERGs, and tiered leadership programs) that support both professional growth and community involvement.