Senior Data Scientist

Elanco; Indiana (PA); On-site; USD 80,000 - 110,000; Full time

Job summary

Elanco is seeking an experienced data science professional in Indiana to support its Global Analytics & Insights team. This role involves statistical modeling, data analysis, and collaboration to drive promotional effectiveness. Candidates should have a Bachelor's degree in a quantitative field, 4+ years in data science, and strong skills in Python, R, and Excel. The position emphasizes analytical problem-solving and project management across different business functions, providing an opportunity to make impactful business decisions.

Qualifications

• 4+ years of experience in Data Science or Commercial Effectiveness.
• Expertise in statistical modelling techniques including A/B testing and regression.
• Knowledge of probability models, market basket, churn modelling, and customer analytics.

Responsibilities

• Support the Global Analytics & Insights team in providing Advanced Analytics.
• Manage all aspects of project-based analyses.
• Collaborate to provide data-driven insights to influence promotional effectiveness.

Skills

Advanced skills in Python

Advanced Excel

Experience with Tableau

Experience with SQL

Experience with Azure ML

Excellent written and verbal communication

Project management experience

Education

Bachelor's Degree in a quantitative or management field

Master's Degree (preferred)

Tools

GitHub

Job description

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 and implementation using appropriate methods.
• 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, recognising improvements in existing tools and anticipating new technologies to deliver world‑class analytics and maximise effectiveness.

Minimum Qualification

• Bachelor’s Degree in a quantitative or management field. (Master’s preferred)
• 4+ 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.

Skills

• 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.

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, colour, 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.