Marketing Engine Data Scientist

Responsibilities

• Build audience and target lists for priority campaigns, with clear definitions, quality assurance, and traceability.
• Deliver campaign performance readouts that translate results into actionable insights and next steps.
• Create repeatable analytics assets that reduce cycle time, improve consistency, and strengthen data quality.
• You are curious, open to feedback, and eager to learn. You enjoy exploring data, asking thoughtful clarifying questions, and improving how work gets done.
• You go beyond charts and model outputs to deliver clear takeaways that explain what an analysis shows, why it matters, and what to do next.
• You will use AI to work more efficiently and improve deliverable quality, applying sound judgment to validate outputs and recognize when further review is needed.
• Deliver a steady cadence of targeting, measurement, and insight work, including regular campaign readouts and continuous improvements to list-building and reporting processes.
• Campaign Targeting & Analysis
• Partner with digital marketing and brand teams to shape campaign ideas, define goals and success metrics, and identify target audiences.
• Build and refine target lists using data-driven segmentation and business rules and perform quality checks before release.

Requirements

• Master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field, with 3years of experience in analytics, data science, or decision support; OR bachelor's degree in one of these fields, with 4 years of relevant experience.
• Commercial, marketing, or digital analytics experience is a plus. Equivalent practical experience may also be considered.
• Demonstrated ability to translate analysis into clear recommendations and practical next steps.
• Python for analysis and modeling.
• Strong SQL.
• Foundations in statistics and measurement.

Preferred

• Databricks (primary development environment for this role).
• PySpark and distributed data processing.
• Git and collaborative development workflows.
• Experience with marketing campaign analytics, segmentation, and measurement.
• Practical experience using AI to accelerate analysis and produce stakeholder-ready readouts.

Benefits

• a comprehensive benefits package that supports the physical, emotional and financial wellbeing of our colleagues and their families including healthcare and insurance benefits beginning on day one, a 401K plan with a match and profit-sharing contribution from Zoetis, and 4 weeks of vacation.