Principal Data Scientist
Elanco (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead project-based advanced analytics including statistical modeling, market basket, churn modeling, price elasticity, and predictive analytics to optimize promotional spend and business activities.
- Manage end-to-end analysis process: data preparation, design, implementation, and results presentation for Global Analytics & Insights Corporate Strategy team.
- Collaborate with cross-functional teams and guide junior members on analytics methods and result storytelling.
Minimum Requirements
- Bachelor’s Degree in quantitative or management field required; Master’s preferred.
- Minimum 8 years experience in advanced analytics and commercial effectiveness.
- Expertise in statistical modeling techniques (A/B testing, regression, clustering, classification, decision trees, forecasting) and customer analytics (probability models, market basket, churn modeling, segmentation).
- Proficient in Python, R, and advanced Excel; strong communication and presentation skills.
Ideal Candidate Profile
- Experienced in leading analytics projects focusing on promotional ROI, pricing, and sales force effectiveness in a corporate/global environment.
- Comfortable collaborating cross-functionally and guiding junior analysts with strong storytelling capabilities.
- Familiarity with pharmaceutical or retail domains and technology tools like Tableau, SQL, Azure ML, and GitHub adds competitive advantage but is not mandatory.