Senior Product Data Scientist

Zoe
United Kingdom
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["SQL","Python","Dbt","Statistical modelling","Experimentation","Causal inference","Survival analysis","Uplift modeling"]

Senior Data Scientist shaping product and growth analytics through experimentation, causal and predictive models. You’ll partner with product/growth teams to determine when descriptive analytics suffices and when predictive/causal models improve member outcomes, build metrics across acquisition to monetisation, and translate insights for senior stakeholders. You’ll work with dbt and instrumentation to ensure high-quality data across use cases in a fast-paced, evidence-minded environment.

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Zoe
Zoe
2 months ago

Senior Product Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Senior Data Scientist shaping product and growth analytics through experimentation, causal and predictive models. You’ll partner with product/growth teams to determine when descriptive analytics suffices and when predictive/causal models improve member outcomes, build metrics across acquisition to monetisation, and translate insights for senior stakeholders. You’ll work with dbt and instrumentation to ensure high-quality data across use cases in a fast-paced, evidence-minded environment.
Location: United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Analyse the acquisition funnel from ad spend through quiz, signup, and activation to identify leakage points and optimize growth for millions of users
  • •Design and analyze high-quality experiments across product and growth surfaces, applying techniques like sequential testing, CUPED, and uplift
  • •Build and evolve metrics across acquisition, activation, engagement, retention, and monetisation to surface risks and leverage points
  • •Use causal and inferential methods to move beyond what happened to why, developing lightweight ML models and segmentations to influence retention and conversion
  • •Communicate insights to senior stakeholders (including the C-suite) and collaborate with leadership to shape company strategy

Key Requirements

  • •5+ years of experience in product analytics, growth analytics, data science where you have owned analytics domains and influenced product intent
  • •Deep proficiency in SQL and Python, with hands-on experience in statistical modelling (e.g., regression, classification, or time-to-event analysis)
  • •Experience running rigorous experimentation and a clear point of view on what good looks like
  • •Familiarity with LTV, churn, retention, or conversion modelling — and translating predictions into concrete product or marketing interventions
  • •Ability to translate complex technical findings into clear, actionable stories for stakeholders and to thrive in dynamic, low-process environments
Experience:5+ yearsHealthcareSaaSConsumer health
Skills:SQLPythonDbtStatistical modellingExperimentationCausal inferenceSurvival analysisUplift modeling
Languages:English
Tech Stack:SQLPythonDbtRegressionClassificationTime-to-event analysisSurvival analysisA/B testingUplift modelling

Company Brief

Zoe
Zoe provides personalized nutrition and gut-health testing services using microbiome, blood biomarker, and dietary data to give individualized dietary recommendations and improve metabolic health outcomes for consumers.
Industry: Wellness & Preventive Health
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Cambridge, United Kingdom
Founded: 2015
Website