Senior Data Scientist - Stealth AI (12-months Fixed-Term Contract – Renewable)

Goodnotes
London
Workplace: OnsiteContractFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Autonomy","Operating in ambiguity"]

Work as the analytical partner for an early AI-native product bet, embedded with the founder and a small team building something new. Define success metrics tied to revenue, run and standardize experimentation with statistical precision, and partner on instrumentation and data governance so features are measurable before launch. Turn funnels, cohorts, activation, and retention into actionable recommendations, while building frameworks that enable teams to self-serve and make evidence-driven decisions.

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FursaFursa
Goodnotes
Goodnotes
1 month ago

Senior Data Scientist - Stealth AI (12-months Fixed-Term Contract – Renewable)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Work as the analytical partner for an early AI-native product bet, embedded with the founder and a small team building something new. Define success metrics tied to revenue, run and standardize experimentation with statistical precision, and partner on instrumentation and data governance so features are measurable before launch. Turn funnels, cohorts, activation, and retention into actionable recommendations, while building frameworks that enable teams to self-serve and make evidence-driven decisions.
Location: London
Workplace: Onsite
Employment Type: Contract · 12 months
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with GTM, Product, and Engineering to define success metrics, size opportunities, and connect product metrics to revenue.
  • •Design and analyze experiments with statistical precision, standardize experimentation across squads, and help teams move from opinion-driven to evidence-driven decisions.
  • •Own instrumentation and measurement quality by working with Engineering on tracking plans and event taxonomy so features are measurable before launch.
  • •Run deep-dive analyses on funnels, cohorts, activation, and retention, and translate findings into actionable product and business recommendations.
  • •Enable self-serve analytics by teaching PMs and product leaders to read experiment results and governed reporting, and building frameworks for others to adapt.

Pay and Benefits

Perks:Health InsuranceLearning Budget

Key Requirements

  • •Significant experience in product analytics in a PLG SaaS, marketplace, or transactional environment, including funnels, retention curves, and user lifecycle metrics tied to revenue.
  • •Deep experimentation experience designing and analyzing experiments, including awareness of failure modes like peeking, underpowered tests, bad randomization, and metric gaming.
  • •Strong instrumentation and data governance experience, including defining tracking plans and working with engineering on event taxonomy.
  • •Strong SQL plus Python and/or R, with ability to write queries and build analyses regularly.
  • •Familiarity with dbt and governed self-serve stacks (e.g., Hex, LightDash, Looker), and experience building frameworks others can adapt.
Experience:PLG SaaSMarketplaceTransactionalProduct analyticsExperimentationAI-native
Skills:CommunicationCollaborationAutonomyOperating in ambiguity
Languages:English
Tech Stack:SQLPythonRDbtHexLightDashLookerStatsigEppoAmplitudeMixpanelFirebaseClaudeChatGPT

Company Brief

Goodnotes
Goodnotes builds a popular digital note-taking app that combines natural handwriting, document management, and AI-powered features to help users capture, organize, and search notes across devices for learning, productivity, and collaboration.
Industry: Enterprise Software
Company Size: Large (251 to 1,000 employees)
Growth: Growth Stage Startup
Funding: Seed
Headquarters: London, United Kingdom
Founded: 2011
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