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

About TripleTen Nebius builds infrastructure for the age of AI. Built on large-scale GPU clusters deployed across Europe and the US, Nebius’s full-stack AI cloud platform combines the scale, flexibility and reliability of a hyperscaler with the power and performance of a supercomputer. We serve a fast-growing ecosystem of AI innovators of all sizes — from startups to research institutes to enterprises — across sectors including healthcare and life sciences, robotics, finance and entertainment, as well as national AI programs. Led by Arkady Volozh, the visionary entrepreneur and founder of Yandex, Nebius is built around the talents of hundreds of engineers with deep expertise in building world-class tech infrastructure, as well as an in-house AI R&D team. Headquartered in Amsterdam and listed on Nasdaq (NBIS), Nebius has a global footprint, with hubs across Europe, North America and the Middle East. As well as our core AI infrastructure business, Nebius Group includes other companies growing under distinctive individual brands: 🚖 Avride develops autonomous cars and delivery robots for sectors such as ride-hailing, logistics, e-commerce, and food and grocery delivery. 📚 TripleTen is a leading edtech platform, specializing in reskilling and upskilling individuals for successful careers in tech. We also own equity stakes in companies including ClickHouse and Toloka.

TripleTen

AI infrastructureInference as a Service (IaaS)AI cloudNeocloudArtificial intelligenceMachine learningand AI

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T

nebius.com

1,001-5,000 employees

Technology, Information and Internet

Amsterdam

2024

Public Company

39k LinkedIn followers

Raised $1B

• 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 what you need: 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.

Required

• 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.

Preferred

• 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.
• We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams
• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI