[Remote] Marketing Engine Data Scientist at Zoetis

United States

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Animal Health, Marketing, PharmaceuticalsIndustries

Advanced degree in Data Science, Computer Science, Engineering, or a related discipline
4+ years’ experience in analytics, data science, or decision support, ideally in commercial or marketing environments
Proven ability to collaborate with business stakeholders to deliver actionable insights and drive measurable results
Hands-on experience with campaign analytics, predictive modeling, Gen AI/LLMs, and stakeholder engagement
Expert in Python and PySpark; strong SQL skills; experience with Databricks
Practical experience with Gen AI frameworks, tools, and large language models for data analysis and personalization
Proficient with Git for collaborative code development and management
Experience building and maintaining data pipelines; knowledge of cloud data platforms (e.g., Databricks)
Skilled in predictive modeling, segmentation, time series analysis, and Gen AI/LLM applications
Strong ability to communicate complex technical concepts to non-technical audiences
Exceptional interpersonal, written, and verbal communication skills
(Preferred) Experience with software engineering skills including code versioning, testing, and deployment
(Plus) Familiarity with data engineering concepts and cloud analytics platforms

Partner with digital marketing and brand managers to define and segment target audiences for campaigns
Design, extract, and refine campaign lists using advanced data science and Gen AI techniques
Analyze campaign performance and outcomes, delivering actionable recommendations to maximize ROI and optimize future targeting strategies
Serve as a trusted advisor, translating technical findings into clear, actionable business insights
Present complex analyses to both technical and non-technical audiences, fostering a culture of data-driven decision-making
Build strong, collaborative relationships across marketing, sales, and other functional teams
Develop and implement predictive models, segmentation, and time series analyses to support marketing strategies
Apply Gen AI frameworks and large language models to drive personalization and campaign effectiveness
Continuously monitor and refine models to ensure accuracy, relevance, and business impact
Utilize Python, PySpark, Databricks, Gen AI frameworks, and SQL for data processing, analysis, and modeling
Collaborate with data engineering teams to ensure robust, scalable data pipelines and infrastructure
Champion best practices in code quality, reproducibility, documentation, and version control (Git)
(Bonus) Apply software engineering skills to streamline analytic workflows and deploy solutions