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Bengaluru, Karnataka, India
Hybrid
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. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.
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!
Your Role: Senior Data Scientist
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 and implementation using appropriate methods.
Your Responsibilities:
Collaboration with Strategic Analytics and Descriptive Analytics team members to provide data-driven insights and influence promotional effectiveness to drive optimal business outcomes.
Participation in readout and review with internal customers.
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
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What You Need to Succeed (minimum qualifications):
Bachelor’s Degree in quantitative or management field. (Master’s preferred)
3+ years of experience in Data Science, Commercial Effectiveness.
Expertise in statistical modelling techniques – A/B testing, regression, clustering, classification, decision trees, forecasting.
Knowledge 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.
What will give you a competitive edge (preferred qualifications):
Experience with Tableau, SQL.
Experience with Azure ML & Model Deployment
Experience with GitHub
Excellent written and verbal communication
Demonstrated excellence in Power Point and storyboarding.
Project management experience across multiple business functions
Additional Information:
Travel: 0%
Location: IN, Bangalore - Hybrid Work Environment
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
Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job‑related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.