Senior Data Scientist

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.

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• Impact: turning cutting‑edge research into features our members use every day, building intelligent systems that personalise and scale the ZOE experience, and conducting deep‑dive analyses that shape product strategy and move science forward.
  
• Pivotal Role: working across these areas, the team plays a crucial role in shaping what we build and how we deliver value to our members.
  

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• 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.
  

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• Have 6+ years of professional experience in data science and/or ML engineering.
  
• Hold a degree in a quantitative field (e.g., Applied Maths, Physics, Statistics, Computer Science).
  
• Have proven experience building and evaluating ML/AI models and conducting product‑focused analyses.
  
• Have a strong foundation in statistics, including hypothesis testing, experiment design, and causal inference.
  
• Be hands‑on with production‑level Python codebases, developing substantial components and features, plus strong SQL skills.
  
• Have a track record of shipping production code/models and collaborating with engineers in fast‑paced environments.
  
• Comfortable using AI tools to enhance day‑to‑day productivity—from IDE assistants to prompt engineering.
  
• Be curious and driven to use data to uncover insights and create business value.
  
• Have excellent communication and collaboration skills, from delivering clear presentations to stakeholders to conducting deep‑dive code reviews.
  
• Commit to our #ActFast value: optimise for reversible decisions, take smart risks, and move quickly with imperfect data.
  

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• Hiring Manager Interview – 45 minutes.
  
• Remote Loop – mix of technical and collaborative interviews.
  
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  • Skills Based Interview – 60 minutes.
    
  • Cross‑Functional Collaboration Interview – 45 minutes.
    
  • Leadership & Values Interview – 45 minutes.
    
  
  
  

We value potential. If you’re excited about ZOE and this opportunity, please apply—even if you don’t meet every single requirement. We support growth and development along the way.