Zoetis
11-50 employees
pharmaceutical-manufacturing
veterinary-services
animal-health
medical-equipment-manufacturing
medical-practices
biotechnology-research
biotechnology
diagnostics
fitness
health
health-care
immunology
legal-services
life-sciences
medical
microfluidic-technology
pharmaceuticals
reproduction
wellness
About Zoetis
Zoetis is a global animal health company dedicated to supporting customers and their businesses in ever better ways. Building on 60 years of experience, we deliver quality medicines and vaccines, complemented by diagnostic products, genetic tests, biodevices and a range of services. We are working every day to better understand and address the real-world challenges faced by those who raise and care for animals. Our name, Zoetis (zō-EH-tis), has its root in zo, familiar in words such as zoo and zoology and derived from zoetic, meaning "pertaining to life." It signals our company's dedication to supporting the veterinarians and livestock producers everywhere who raise and care for the farm and companion animals on which we all depend.
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Description
- We are looking for a Senior Data Scientist with a genuine curiosity and drive to turn data into valuable insights and innovative features that shape our product and drive impact across the organization. This role is for a proactive generalist with a strong track record of applying data science to solve complex business and product challenges.
- You’ll be joining the Data Science team at ZOE, a pivotal group that works closely with stream-aligned product squads while dedicating time to high-impact, cross-cutting initiatives that support the wider mission.
- The team drives three core work streams: science-led features, AI-powered products, and data-driven product development.
- Impact: This means turning cutting-edge research into features our members use every day, building intelligent systems that personalize and scale the ZOE experience, and conducting deep-dive analyses that shape product strategy and move science forward.
- Pivotal Role: By working across these areas, the team plays a crucial role in shaping both what we build and how we deliver value to our members.
- As a Senior Data Scientist, you will partner directly with Product, Engineering, and Science teams to ensure data is at the core of every decision and feature we release.
- Design, build, and deploy data-driven features and ML models that measurably improve our product and user experience.
- Develop and iterate on evaluation frameworks to continuously improve the performance of our AI features.
- Write, test, and maintain clean, production-ready code in Python (pandas, NumPy, scikit-learn), and utilize our data stack (SQL/DBT/BigQuery/Airflow).
- Partner with product managers to run incisive analyses that uncover insights and guide strategic decisions.
- Collaborate with engineers to define data contracts and ensure pipelines meet requirements for granularity, latency, and quality.
- Communicate findings compellingly through decks, dashboards, or Looms to drive data-informed action.
- Take full ownership of your work—from ideation through model development and deployment.
- Champion our scientific yet agile approach: start with a hypothesis, seek evidence, and iterate fast.
- Bring an entrepreneurial mindset to your day-to-day work, always striving to go above and beyond for our mission.
- We think you would be great if you have at least 6+ years of experience in data science and/or ML engineering, a degree in a quantitative field, proven experience building ML/AI models, strong statistical foundation, hands-on Python and SQL skills, a track record of shipping production code/models, curiosity, excellent communication, and a commitment to our #ActFast value.
- Our hiring process includes a 45-minute hiring manager interview, a remote technical and collaborative interview, and leadership/values assessment. We welcome candidates excited about ZOE’s mission, regardless of whether they meet every requirement.
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Requirements
- 6+ years of professional experience in data science and/or ML engineering.
- Degree in a quantitative field (e.g., Applied Maths, Physics, Statistics, Computer Science).
- Proven experience building and evaluating ML/AI models and conducting product-focused analyses.
- Strong foundation in statistics, including hypothesis testing, experiment design, and causal inference.
- Hands-on experience with production-level Python codebases, developing substantial components and features, plus strong SQL skills.
- Track record of shipping production code/models and collaborating with engineers in fast-paced environments.
- Comfort using AI tools to enhance day-to-day productivity—from IDE assistants to prompt engineering.
- Curiosity and drive to use data to uncover insights and create business value.
- Excellent communication and collaboration skills, from delivering clear presentations to stakeholders to conducting deep-dive code reviews.
- Commitment to our #ActFast value: optimize for reversible decisions, take smart risks, and move quickly with imperfect data.
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Benefits
- Supportive and innovative work environment
- Opportunities for professional growth and development
- Collaborative team culture
- Flexible work arrangements
- Access to cutting-edge AI and data science tools
- Participation in impactful projects that shape health and nutrition insights