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About the Role

We are looking for a senior, full-stack analyst / data scientist to own Product and PLG analytics end-to-end. You will own the metrics behind our self-serve motion and find the drivers behind them. You will work directly with our CEO and leadership as a thought partner on product and growth decisions. This role is fully independent, taking ownership from pipeline building to analysis and recommendations. You will also collaborate with other analysts and cross-functional teams.

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) that turn raw product, usage and billing data into trusted, reusable datasets.
Build and ship predictive models (conversion propensity, churn risk, usage forecasting, lead and account scoring) and bring their outputs into product and GTM workflows.
Design, run and evaluate experiments (A/B tests, pricing and packaging tests, onboarding changes) and apply causal inference where you can't run a clean experiment.
Proactively monitor key business and product metrics, investigate trends and anomalies, and surface insights stakeholders can act on.
Partner directly with the CEO and leadership on strategic questions, including pricing, growth levers, product bets and market opportunities, and turn ambiguous questions into clear analysis and decisions.
Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams.

Requirements

5+ years of experience as a Product / Growth Analyst, Data Scientist or equivalent.
2+ years in a SaaS company, with deep understanding of funnels, cohorts, activation, retention, monetization and PLG dynamics.
A strong statistical foundation.
A proven record of working end-to-end on your own, from data engineering through modeling to a delivered recommendation.
Strong hands-on experience using Python for data analysis, experimentation, machine learning and data modeling in a production environment.
Comfort working with large, messy, event-level datasets.
Hands-on experience building, validating and deploying predictive models (e.g., classification, forecasting, segmentation) that were used to make real business decisions.
Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership.
Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation.
Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau).
BSc in Statistics / Math / CS or equivalent.
Experience at an API-first, developer-focused or PLG company.
Experience with product analytics platforms (PostHog, Amplitude, Mixpanel).
Experience with pricing and packaging analysis or usage-based billing models.
Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work.
Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications.
MSc / PhD in Statistics / Math / CS or equivalent.

Skills

SQL
dbt
Python
Orchestration
Data Engineering
Modeling
Machine Learning
Data Modeling
Classification
Forecasting
Segmentation
A/B testing
Causal Inference
Snowflake
BigQuery
Airflow
Omni
Looker
Tableau
PostHog
Amplitude
Mixpanel
LLMs
AI tooling
AI agents

Location

Amsterdam

Work Type

Full-time

Experience Level

Senior
5+ years of experience
2+ years in a SaaS company

Education Level

BSc in Statistics / Math / CS or equivalent
MSc / PhD in Statistics / Math / CS or equivalent

Salary/Compensations

$179,000—$224,000 USD

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

About the Company

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed.

Equal Opportunity

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.