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

Location: New York City, New York, United States

Base compensation: $179,000–$224,000 USD per year

Company

Nebius builds a full-stack AI cloud platform for data processing, model training, and production deployment. Tavily provides a search and intelligence layer for AI agents and retrieval systems using fresh, verified real-world data.

What you will do

• Own product and PLG analytics across signup, API usage, activation, conversion, expansion, retention, and churn.
• Build SQL, dbt, Python, and orchestration pipelines that transform product, usage, and billing data into trusted datasets.
• Develop, validate, and deploy predictive models for conversion propensity, churn risk, usage forecasting, lead scoring, and account scoring.
• Design and evaluate A/B tests, pricing and packaging tests, and onboarding experiments, applying causal inference where needed.
• Monitor business and product metrics, investigate trends and anomalies, and provide actionable recommendations.
• Partner with the CEO, leadership, Product, Engineering, Growth, Marketing, and GTM teams on pricing, growth levers, product bets, and market opportunities.

Requirements

• 5+ years of experience as a Product or Growth Analyst, Data Scientist, or equivalent.
• 2+ years of experience in a SaaS company with strong knowledge of funnels, cohorts, activation, retention, monetization, and PLG.
• Strong statistical foundation and hands-on Python experience for analysis, experimentation, machine learning, and production data modeling.
• Experience working independently with large, messy, event-level datasets and delivering end-to-end recommendations.
• Experience building, validating, and deploying predictive models used for business decisions.
• Experience with Snowflake or BigQuery, dbt, Airflow, and BI tools such as Omni, Looker, or Tableau; BSc in Statistics, Mathematics, Computer Science, or equivalent.

Nice to have

• Experience at an API-first, developer-focused, or PLG company.
• Experience with PostHog, Amplitude, or Mixpanel.
• Experience with pricing and packaging analysis or usage-based billing.
• Familiarity with LLMs, AI tooling, and AI agents for analytical work.
• GitHub profile, portfolio, side projects, publications, or an MSc/PhD in a relevant field.

Culture & Benefits

• Competitive compensation and benefits.
• Career growth and learning opportunities.
• Flexibility, ownership, and the opportunity to shape AI products.
• Collaborative, innovative, and international environment.
• Work on impactful AI projects with teams across Europe, the UK, North America, and Israel.
• Applicants must be authorized to work in the United States and provide proof of employment eligibility.