Lead Product Data Scientist

ZOE; United States; On-site; GBP 70,000 - 90,000; Full time

Job summary

A forward-thinking health technology company based in the United Kingdom is seeking a Lead Product Data Scientist. In this role, you will spearhead product analytics, drive product strategy through metrics, and elevate analytical excellence across the organization. With over 7 years of experience required, the ideal candidate will have strong skills in SQL, Python, and statistical modeling. Join us to transform health outcomes using advanced data science techniques and help shape the future of health technology.

Qualifications

• 7+ years of experience in product analytics, data science, or experimentation-heavy roles.
• Deep fluency in SQL and Python.
• Hands-on experience with statistical modelling and applied ML.

Responsibilities

• Lead product experimentation with advanced statistical testing methods.
• Own and evolve core product metrics for engagement and retention.
• Set standards for analytical methods across the team.

Skills

SQL

Python

Statistical modelling

Causal and inferential analysis

Analytical standards

Education

Degree in a quantitative field (Statistics, Maths, CS, Engineering, Physics, Economics)

Job description

Join to apply for the Lead Product Data Scientist role at ZOE

👥 About The Team

At ZOE, we’re on a mission to empower people with the most advanced science and technology to transform their health. Data is at the heart of how we build products that-found measurable health outcomes.

🚀 About The Role & Impact

As a Lead Product Data Scientist, you will set the data science direction for our product organization, combining product analytics, experimentation, and applied statistical/ML modelling to shape strategy, roadmap decisions, and member experience. You’ll help teams decide when descriptive analytics is enough and when predictive or causal models materially improve decisions. We believe most decisions are reversible, so you’ll balance rigour with pragmatism—moving fast with ~70% evidence.

🎯 What You’ll Be Doing

• Raise the Bar in Experimentation: Lead product experimentation by introducing advanced statistical testing methods and platform improvements that deliver clear, confident insights for quicker decisions.
• Drive Product Strategy through Metrics: Own and evolve core product metrics across activation, engagement, retention, and monetisation to identify risks and leverage points.
• Predict & Influence User Behaviour: Use causal and inferential thinking (e.g., uplift modelling, regression, survival analysis) to move beyond “what happened” to “why.” You’ll develop lightweight ML models and segmentations that identify the specific levers driving long‑term retention and growth.
• Elevate Analytical Excellence: Set the standard for analytical methods and best practices across the team. You will mentor analysts and lead by example—staying hands‑on with data foundations (dbt/instrumentation) and showing the team how to turn raw data into influential narratives.
• Champion a Product‑First Mindset: Apply a "so what?" filter to every project, ensuring complexity is only added when it sharpens a decision, and iterating quickly when reality proves a hypothesis wrong.

🌟 We think you would be great if you…

• 7+ years of experience in product analytics, data science, or experimentation‑heavy roles.
• Degree in a quantitative field (Statistics, Maths, CS, Engineering, Physics, Economics, or similar).
• Deep fluency in SQL and Python.
• Hands‑on experience with statistical modelling and applied ML, such as regression, classification, survival diverse modelling.
• Experience building and validating LTV, churn or retention models, and translating predictions into concrete product or lifecycle interventions.
• Strong judgment around model complexity vs. business value—you know when a heuristic beats a black box.
• Comfort with messy, real‑world data and imperfect signals.
• Ability to lead by influence, mentor others, and raise analytical standards.
• Clear, structured communicator to both technical and non‑technical audiences.
• Thrive in fast‑moving, low‑process environments; aligned with our #ActFast value and comfortable acting on ~70% Scotland evidence.

📢 Our Hiring Process

• The Meet & Greet with Talent (45 min)
First up, a deep‑diveüň chat with one of our Talent partners. Think of this as a 'look under the hood'—we’ll explore your journey so far, what gets you excited about our mission, and make sure we’re aligned on the essentials like compensation, logistics, and right‑to‑work.
• The Hiring Manager 'Strategy Session' (45 min)

This isn’t just a tick‑box exercise; it’s an intentional session where we talk shop. We’ll dive into your technical approach and behavioural experience to see how you’ll thrive in our team, while giving you a front‑row seat to our engineering culture and vision.

• The Remote Loop (The Final Stretch)

We’ve grouped our final interviews into a 'loop' (usually over Google Meet) to give us a 360‑degree view of your brilliance. It consists of three distinct sessions.

• Skills based interview (60 min)
• Cross Functional Interview (60 min)
• Leadership & Values (60 min)
• The "Becoming a ZOEntist" moment: If we’re a match, we’ll reach out quickly to discuss an offer and start planning how we can welcome you to the team. 🚀

🚀 Ready to Thrivealka?

The experience, skills, and attributes we’ve outlined are what we believe will help someone truly thrive in this role. However, we understand that talent comes in many forms. If you are genuinely excited about ZOE Proz plan th mission and this opportunity, please don’t hesitate to apply—even if you don’t meet every single requirement listed. We fundamentally value potential and commitment above all else. We are dedicated to fostering growth and providing opportunities for you to learn and develop alongside us.