Senior Data Science Manager

We Are Redefining How People Approach Their Health

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 🚀

🚀 The Role

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.

Team structure

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.

👥 The Team

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.

🛠️ Our stack

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.

🎯 What You’ll Be Doing

Blending hands-on delivery with people leadership and stakeholder management to set the standard for Data Science at ZOE:

• Credible leader of senior data scientists; player-coach (~60% leadership/strategy, ~40% hands-on).
• Hands-on where it moves the needle, providing technical guidance and setting the standard for Data Science.

People & Leadership

• Foster a healthy, inclusive, high-trust culture combining scientific rigour with product velocity.
• Champion psychological safety, autonomy, and accountability.
• Provide technical mentorship on statistics, causal inference, and experimentation best practices.
• Mentor Senior Data Scientists and analytics managers.
• Hire, onboard, and develop a diverse team.
• Run effective 1:1s, goal-setting, and growth plans.

Technical Excellence

• Champion robust experimentation across product teams (power analysis, guardrails, segmentation, trustworthy readouts).
• Set the standard for code quality, reproducibility, and model governance (architecture reviews, documentation, versioning, run-books).
• Lead predictive modeling on user behavior: churn/retention models, lifecycle propensity models; collaborate with Growth/Marketing and Product teams.
• Define ML feature evaluation strategy: offline evaluation, human-in-the-loop review, online metrics, safety & privacy guardrails.
• Own and shape data strategy across the stack, ensuring robust, clean, and reliable data architecture in partnership with data engineering and technology leaders.

Product Strategy & Stakeholder Alignment

• Communicate progress and insights through clear updates, dashboards, Looms, and executive-ready briefs.
• Influence a data-driven product roadmap with clear success metrics and informed trade-offs.
• Act as a key voice for prioritization, balancing technical, product, and business objectives.

🌟 We think you’ll be great if you…

• Have 2+ years leading data scientists and 6+ years in data science/ML, with clear product impact.
• Passionate about coaching and building a team that values autonomy, psychological safety, and growth.
• Bring a track record of data-driven product decisions and high-quality experimentation; ship ML/AI features where they move the needle.
• Are fluent in statistics, experiment design, and causal inference; define the right metrics/instrumentation and guide trade-offs.
• Optimise for reversible decisions, take smart risks, and move quickly with imperfect data (#ActFast).
• Write and review production-grade Python and SQL; set standards for code quality, reproducibility, and model governance.
• Influence product direction and priorities across embedded squads; communicate complex ideas clearly to varied audiences.
• Use AI tools pragmatically to boost productivity (from IDE assistants to prompt engineering), applying sound evaluation practices to LLM features.
• Communicate crisply—decks, dashboards, Looms, exec-ready briefs—and influence at the right altitude.

✅ Nice to have

• Ph.D in Computer Science, ML, or related field, or equivalent experience.
• Experience in health, nutrition, or other regulated domains.
• Familiarity with LLM evaluation, retrieval‑augmented systems, and prompt/agent reliability.
• Experienced in designing and maintaining scalable ML pipelines—from data ingestion to deployment—ensuring reproducibility, model monitoring, and compliance when handling sensitive health data.
• Exposure to feature stores, real‑time inference, and online experimentation at scale.

The experience, skills, and attributes listed above reflect what we believe will contribute to success in this role. If you're passionate about ZOE and the opportunity, but don't meet 100% of the criteria, we still encourage you to apply. We are committed to supporting growth and are happy to offer up-skilling opportunities where possible.

Remote Philosophy

ZOE is a remote-first company, meaning remote work isn’t just an option — it’s how we work best. We are intentional about building a distributed, high-performing team where collaboration, trust, and flexibility thrive.

We design our workflows around asynchronous communication and shared documentation to support autonomy, focus, and cross-timezone collaboration. While our teams work independently, connection and teamwork remain central to how we operate — through regular rituals, meaningful virtual interactions, and in-person gatherings every quarter. These include team offsites and a yearly company-wide retreat to build relationships, spark creativity, and have fun together.

Being remote-first also means we value outcomes over hours and trust our team members to manage their work in a way that suits their unique rhythm and responsibilities. This approach allows us to support a truly flexible work environment, while staying aligned with our mission and values.

At ZOE, working remotely doesn’t mean working alone — it means being empowered, supported, and connected, wherever you are.

Compensation Philosophy

We are committed to offering competitive and equitable compensation that reflects the value of each role and aligns with regional labor market standards. Our approach to compensation goes beyond just base salary — we offer a comprehensive package that includes base pay and stock options, ensuring that every team member is rewarded for their contributions to the company’s growth and success.

We believe that building a thriving team requires not only providing fair and competitive compensation but also fostering an environment where success is shared collectively. Our total compensation package is designed to support the well-being of our employees, recognise their individual contributions, and empower them to grow alongside ZOE.

Benefits & Perks

We understand the significant role our benefits play in motivating, inspiring and safeguarding our employees' well-being. Our benefits strategy is thoughtfully designed to echo our mission and values, recognising the diverse needs arising from different life stages of our ZOEntists.

Our approach to benefits takes an inclusive and flexible view of both personal and professional growth. From competitive health insurance and wellness packages to inclusive parental policies, building connection, and tailored professional development programs, we've got you covered.

At ZOE, we continue to build a benefits package that invests in our team members’ long-term personal and professional growth and wellbeing, adding to this list as it evolves.

Equal opportunities

We are committed to fostering a diverse and inclusive team where every individual can bring their authentic self to work. We believe that this is key to our success and are dedicated to positively impacting the tech industry. As part of our commitment to equal opportunities, we encourage candidates from underrepresented backgrounds to apply. We ensure a respectful and inclusive environment for all and do not discriminate on the basis of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, marital status, disability, or age. If you require any accommodations during the interview process, please feel free to inform us, and we will make every effort to support your needs.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.