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Senior Product & PLG Analyst (Full-Stack Data Scientist)

Nebius· GTM Customer Success
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New York, NY$179k - $224kfull-timePosted 1w ago

About the role

Senior, full-stack analyst and data scientist owning Product and PLG analytics end-to-end for Nebius Tavily, focusing on self-serve funnel metrics, drivers of activation/retention/monetization, and collaboration with executive leadership on growth, pricing, and market opportunities.

Responsibilities

  • Own Product and PLG analytics end-to-end: define, instrument and measure the self-serve funnel, from first API call through activation, conversion to paid, expansion and churn.
  • Uncover the drivers behind top-level KPIs: which behaviors, use cases and product experiences predict activation, retention and monetization.
  • Build data pipelines and models (SQL, dbt, Python, orchestration) turning raw product, usage and billing data into trusted datasets.
  • Build and ship predictive models (conversion propensity, churn risk, usage forecasting, lead and account scoring) and integrate outputs into product and GTM workflows.
  • Design, run and evaluate experiments (A/B tests, pricing/packaging tests, onboarding changes) and apply causal inference when needed.
  • Monitor key business and product metrics, investigate trends/anomalies, surface actionable insights.
  • Partner with CEO and leadership on strategic questions (pricing, growth levers, product bets, market opportunities) and turn ambiguous questions into clear analysis.
  • Set the standard for product success measurement: definitions, source of truth, analytical rigor across teams.

Qualifications

  • 5+ years of experience as a Product / Growth Analyst, Data Scientist or equivalent.
  • 2+ years in a SaaS company with understanding of funnels, cohorts, activation, retention, monetization and PLG dynamics.
  • Strong statistical foundation.
  • Proven end-to-end ownership from data engineering through modeling to delivered recommendations.
  • Hands-on Python experience for data analysis, experimentation, ML and data modeling in production.
  • Experience with large, messy event-level datasets.
  • Experience building, validating and deploying predictive models used to inform business decisions (classification, forecasting, segmentation).
  • Ability to influence business strategy with data and align cross-functional stakeholders, including executives.
  • Strong communication: translating complex analyses into clear stories and concrete recommendations.
  • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, BI tools like Omni/Looker/Tableau).
  • BSc in Statistics / Math / CS or equivalent.

Skills

Required:SQLPythondbtExperimentationStatistics / MLData Visualization / BI

Benefits

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
Last updated Oct 14, 2026. Interested? Apply on the company site.
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