- This role supports the needs of the Global Analytics & Insights team, part of the Corporate Strategy Team, with a focus on providing Advanced Analytics (to include statistical modeling, regression analyses, market basket, churn modelling methods) to work on program/promotion design, mixed market modelling and ROI post program. Additional project-based work around price elasticity, segmentation, game theory modelling and predictive analytics (, customer lifetime value) will be in scope. The overarching goal of all work will be to find efficiencies in current promotional spend and optimize future business activities.
- This position is responsible for managing all aspects of project-based analyses including data preparation, analysis design, implementation using appropriate methods & results presentation.
- Leading readouts and review with internal customers.
- Lead discussions with customers to uncover needs, design and deliver analytics solutions. Enable measurement and improved effectiveness of rebates, media spend, pricing and sales force activities leveraging statistics and data science techniques.
- Collaborate with internal stakeholders, descriptive analytics team and cross-functional teams to solve business problems, propose efficiencies and innovative approaches.
- Constantly innovate in data science domain, constantly bringing new expertise to the team and adding to team knowledge
- Guide the junior members on technical and functional aspects, problem formulation, approach design, model building, model refinement and selection, reviewing and storyboarding the results.
- Consistent, constant alignment with all members of team in Greenfield, Indiana.
- Maintain an environment open to change and innovation, recognizing improvements in existing tools and anticipating new technologies to deliver world class analytics and maximize effectiveness
- Bachelor's Degree in quantitative or management field. (Master's preferred)
- 6+ years of experience in Advanced Analytics, Commercial Effectiveness.
- Expertise in statistical modelling techniques – A/B testing, regression, clustering, classification, decision trees, forecasting.
- Expertise of probability models, market basket, churn modelling, segmentation and customer analytics.
- Advanced skills in Python, R and advanced excel.
- Proven analytical/problem solving skills with strong learning agility.
- Excellent written and verbal communication
- Demonstrated excellence in Power Point and storyboarding.
- Experience with Azure ML & Model Deployment
- Experience with GitHub
- Project management experience across multiple business functions
- Experience in pharma/retail domain
- Experience with Tableau, SQL.
- Travel Percentage: 0-10%
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Principal Data Scientist - Bengaluru, India - Elanco
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