Senior Data Scientist: Enterprise Analytics & Project Leadership

Elanco in

Indianapolis (IN)

Hybrid

USD 107,000 - 131,000

Full time

14 days+

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Benefits offered by this job

Multiple relocation packages

Two weeklong shutdowns (mid-summer and

year-end) in the US (in addition to

PTO

Job summary

Elanco in Indianapolis, IN is seeking a Senior Data Scientist to join the Enterprise Analytics and Governance team. You will translate complex data into strategic insights and scalable ML solutions that drive business value.

This role blends advanced analytics with production-grade deployment, cross-functional collaboration, and leadership of junior teammates. Hybrid work at our Indiana HQ offers opportunities to shape animal-health analytics.

Qualifications

PhD in Statistics, Data Science, Computer Science, Operations Research or related STEM with 2+ year of experience, OR 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.

Responsibilities

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 (e.g., optimization, simulation), 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 (XAI) 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.