The posting
The Marketing Engine team supports campaigns from ideation and audience building through reporting, insight generation, and next steps. The Marketing Engine Data Scientist works across this lifecycle, translating data into actionable insights that improve targeting, campaign performance, and decision-making.
This is a hands-on, collaborative role. You will partner with marketing, sales, business intelligence, and digital teams to clarify business questions, choose the right analytical approach, and communicate findings in a way that drives action.
What You Will Own:
•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.
Key Responsibilities:
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.
•Analyze campaign performance and outcomes, then recommend actions to improve targeting precision, response, and ROI.
•Create repeatable reporting and analysis assets, including notebooks, query templates, dashboard inputs, and documentation, to reduce cycle time and rework.
Stakeholder Partnership & Insight Storytelling:
• Translate ambiguous requests into clear problem statements, success metrics, and analysis plans.
•Communicate findings in plain language to technical and non-technical audiences.
•Deliver stakeholder-ready summaries with key takeaways, recommended actions, expected impact, and important assumptions.
•Build trust through reliable follow-through, early risk escalation, and responsive iteration based on feedback.
Analytics & Model Development:
•Contribute to segmentation and predictive analytics that support marketing strategy and customer engagement.
•Monitor analytical outputs, including models, rules, and reports, for stability and performance, and flag issues early.
•Help evaluate analytical approaches and measure impact using well-defined metrics and practical test designs.
AI-Enabled Workflow Improvement:
•Use AI to accelerate analysis and improve deliverable quality, from exploratory analysis through stakeholder-ready readouts.
•Improve analytics workflows and targeting processes by reducing manual effort, increasing consistency, and improving data quality.
Technical Execution:
•Use Python and SQL to extract, transform, and analyze data.
•Work with data engineering and platform partners to access curated datasets and follow established data standards.
•Follow team practices for code quality, reproducibility, and documentation, and use Git for version control.
What We're Looking For:
Core Strengths
• Strong analytical thinking and attention to detail.
• Demonstrates a learning mindset, seeks feedback early, and applies it.
• Communicates effectively with stakeholders, explains results clearly, and helps align teams on next steps.
• Demonstrates ownership, follows through on commitments, and raises issues early.
Education & Experience:
• 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.
Technical Skills:
Most work takes place in Databricks, the primary development environment for this role. Candidates should be comfortable ramping up quickly.
Required
• Python for analysis and modeling.
• Strong SQL.
• Foundations in statistics and measurement.
Preferred, but can be developed in the role with support:
•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.
How We Work:
We value end-to-end problem solving: clarifying the business question, choosing an appropriate approach, producing a sound analysis, and communicating the results clearly. Strong work concludes with a recommendation, the rationale behind it, and any important assumptions or limitations.
Physical Skills:
• Parsippany based preferred
• Hybrid office setting
The U.S. base salary range for this full-time position is $93,000 to $150,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the base pay target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
This position is also eligible for short-term incentive compensation.
This position is also eligible for long-term incentives.
In addition to compensation, Zoetis offers 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.
Visit zoetisbenefits.com to learn more.
Full time
Regular
Colleague
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