Senior Data Scientist

Senior Data Scientist

Elanco, a global leader in animal health, is seeking a Senior Data Scientist to join its Enterprise Analytics and Governance organization. The candidate will transform complex data into strategic insights and scalable solutions that drive business value.

• Lead end-to-end data science initiatives from problem definition and data exploration to deployment of 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 stakeholders to translate strategic objectives into actionable analytical solutions.
• Design and develop robust data pipelines and models using 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 software engineering best practices, including modular code design, testing, version control, and CI/CD pipelines.
• Ensure model transparency, explainability, and interpretability using Explainable AI (XAI) approaches.
• Monitor, evaluate, and optimize model performance in production environments, 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.

• PhD in Statistics, Data Science, Computer Science, Operations Research, or 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, and 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.
• 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 MLOps tools and technologies.

• Experience building end-to-end observability frameworks, including model monitoring, drift detection, and business performance tracking.
• Familiarity with Natural Language Processing, Generative AI techniques (e.g., LLMs, RAG architectures, AI agents).
• Experience working with large-scale enterprise data platforms and cloud ecosystems (Azure, AWS, GCP).
• Demonstrated ability to operate effectively in ambiguous, fast‑paced environments.

Indianapolis, IN (Hybrid Environment). Minimal travel required.

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.