At Elanco (NYSE: ELAN) – it all starts with animals!
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. We’re driven by our vision of ‘Food and Companionship Enriching Life’ and our approach to sustainability – the Elanco Healthy Purpose™ – to advance the health of animals, people, the planet and our enterprise.
At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.
Making animals’ lives better makes life better – join our team today!
Role: Principal Data Scientist
Responsibilities:
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 and ROI post program. Additional project-based work around price elasticity, mixed market modelling, segmentation, game theory modelling and predictive analytics (e.g., 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
Minimum Qualification:
Education: Bachelor’s Degree in quantitative or management field. (Master’s preferred)
Experience: 6+ years of experience in Advanced Analytics, Commercial Effectiveness.
Preferred Skills:
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.
Demonstrated excellence in Power Point and storyboarding.
Experience with Tableau, SQL, Azure ML & Model Deployment and GitHub
Project management experience across multiple business functions
Additional Information:
Travel: 0%
Location: India, Bangalore
Don’t meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!
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
