Senior Data Science Manager

ZOE is the science and nutrition company leading a movement to transform the health of millions.

We exist because the food we eat is making us sick. Most of what we are taught about food is wrong.

ZOE runs the world’s largest nutrition science study to find scientifically proven solutions.

Our randomised controlled trial of ZOE proves that if you eat the right food for your body, you can feel healthier in weeks and be on track for more healthy years.

ZOE can change the way you eat, feel, and live. We host world-leading scientists on our podcast and bring proven science to your plate with Daily30+, our 30+ plant supplement.

Over 100,000 people rely on ZOE Membership, our personalised nutrition program, to make smarter food choices. ZOE Membership turns complex science into clear step-by-step actions, helping you improve your health with every meal.

ZOE means life — and you can change your life with food.

Visit our career page and become a ZOEntist 🚀

As a Senior Data Science Manager at ZOE, help us turn scientific understanding into actionable algorithms that guide hundreds of thousands of people in changing what they eat.

Lead, grow, and coach a high-performing data function that partners across product, engineering, and science to turn data into insights that drive clear, measurable business impact.

Set direction and standards for data-driven product development roadmaps, science-led features, and AI product evaluation — balancing hands-on technical depth with people leadership and delivery excellence.

Embedded data scientists within product teams, coaching them and setting technical excellence standards; also lead the Product analytics manager and team, proactively supporting stakeholder management and complex data challenges across the company.

Reports to the VP of Engineering and work closely with product, engineering, and science leads on strategy, priorities, and day-to-day execution.

You’ll manage 4–8 Data Scientists (mix of Senior and mid-level) embedded in stream-aligned product squads and coordinated through a central Data Science function you lead. You also lead 3-4 Product analysts through a Analytics Manager.

Your remit spans:

- Product decision intelligence: Turn data into crisp, actionable insights that guide strategy and day-to-day decisions across acquisition, activation, retention, engagement, and health outcomes, including user prediction models that analyse churn and retention; define the right metrics and instrumentation to measure impact.

- Experimentation tooling & validation: Maintain a rigorous culture of A/B testing and statistical experimentation, using causal methods and guardrail rollouts to validate hypotheses and features before scaling.

- Science‑led features: Translate cutting‑edge research into member‑impacting features. Own the algorithmic roadmap and quality for ZOE Scores (versioning, evaluation, and integrity of core scoring algorithms).

- Growing our data science & analyst function deliberately, with top talent, as the scope and impact of the work expand.

This role suits a leader who sees data science as a decision and empowerment lever, pairing strong technical depth with clean, reproducible, deployable outputs.

BQ/DBT/SQL, Python/FastAPI, GCP/Vertex AI, Kotlin/Spring AI (team‑dependent). Familiarity with experiment platforms, feature stores/MLFlow, and modern BI/visualisation tools is a plus.