Nebius
Senior Product & PLG Analyst (Full-Stack Data Scientist)
$179K–$224K
New York City, New York, United States · Senior · Full-time · Posted Oct 1, 2026
- Experience
- 5+ years in a relevant analyst or data scientist role; 2+ years in a SaaS company.
- Education
- BSc in Statistics / Math / CS or equivalent.
- Visa sponsorship
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire.
About the job
Owns end-to-end product and product-led growth analytics, building data pipelines and predictive models, evaluating experiments, and advising leadership on product and growth decisions.
What you'll do
- Define and measure the self-serve funnel and identify drivers of activation, retention, and monetization.
- Build data pipelines, models, and predictive tools, and bring model outputs into product and go-to-market workflows.
- Design and evaluate experiments, monitor metrics, and advise leadership on strategic product and growth decisions.
What they ask for
- 5+ years of experience as a Product / Growth Analyst, Data Scientist or equivalent; 2+ years in a SaaS company.
- Strong statistical foundation and demonstrated end-to-end work from data engineering through modeling to recommendations.
- Strong hands-on Python experience in production, including predictive modeling, and comfort with large, messy event-level datasets.
- Experience with modern data tooling and a BSc in Statistics / Math / CS or equivalent.
Nice to have
- Experience at an API-first, developer-focused or PLG company; product analytics platforms such as PostHog, Amplitude, or Mixpanel.
- Experience with pricing and packaging or usage-based billing; familiarity with LLMs / AI tooling and AI agents.
Pay
$179,000 — $224,000 USD (base salary)
Tools
Python, SQL, dbt, Snowflake, BigQuery, Airflow, Omni, Looker
AI focus
Build predictive models for conversion propensity, churn risk, usage forecasting, and lead and account scoring; familiarity with LLMs, AI tooling, and AI agents is a nice-to-have.
Model-written summary · the original posting is authoritative