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

Details

About Nebius

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, Nebius works on large-scale GPU orchestration, inference optimization, compute, storage, networking, and applied AI. The company is listed on Nasdaq (NBIS), headquartered in Amsterdam, and has a global footprint with R&D hubs across Europe, the UK, North America, and Israel. Its team of more than 1,500 people includes hundreds of engineers with expertise across hardware, software, and AI R&D.

About Tavily

Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. The company helps startups and global enterprises build AI agents that are intelligent and informed through access to fresh, verified, real-world data.

Role Description

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 the self-serve motion, including signup, activation, usage, conversion, expansion, and retention, while identifying the drivers behind those metrics.

You will work directly with the CEO and leadership as a thought partner on product and growth decisions. The role is fully independent: you will take questions from end to end by building pipelines, modeling data, training and deploying models, analyzing results, and presenting clear recommendations. You will also collaborate with analysts and cross-functional teams across Product, Engineering, Growth, Marketing, and GTM.

Responsibilities

• Own Product and PLG analytics end-to-end, including the self-serve funnel from the first API call through activation, conversion to paid, expansion, and churn.
• Identify the behaviors, use cases, and product experiences that predict activation, retention, and monetization.
• Build data pipelines and models using SQL, dbt, Python, and orchestration tools to transform raw product, usage, and billing data into trusted, reusable datasets.
• Build and deploy predictive models for conversion propensity, churn risk, usage forecasting, lead scoring, and account scoring, and integrate their outputs into product and GTM workflows.
• Design, run, and evaluate experiments, including A/B tests, pricing and packaging tests, and onboarding changes.
• Apply causal inference when a clean experiment cannot be run.
• Monitor key business and product metrics, investigate trends and anomalies, and surface actionable insights.
• Partner with the CEO and leadership on pricing, growth levers, product bets, and market opportunities.
• Turn ambiguous questions into clear analyses and decisions.
• Establish standards for measuring product success, including metric definitions, a shared source of truth, and analytical rigor across teams.

Requirements

• 5+ years of experience as a Product Analyst, Growth Analyst, Data Scientist, or in an equivalent role.
• 2+ years of experience in a SaaS company, with a deep understanding of funnels, cohorts, activation, retention, monetization, and PLG dynamics.
• Strong statistical foundation.
• Proven ability to work independently across data engineering, modeling, analysis, and delivered recommendations.
• Strong hands-on Python experience for data analysis, experimentation, machine learning, and data modeling in production environments.
• Experience working with large, messy, event-level datasets.
• Experience building, validating, and deploying predictive models, such as classification, forecasting, and segmentation models, that informed business decisions.
• Ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership.
• Strong communication skills, with the ability to turn complex analysis into a clear story and concrete recommendation.
• Experience with modern data tooling, including Snowflake or BigQuery, dbt, Airflow, and BI tools such as Omni, Looker, or Tableau.
• BSc in Statistics, Mathematics, Computer Science, or an equivalent qualification.

Nice to Have

• Experience at an API-first, developer-focused, or PLG company.
• Experience with product analytics platforms such as PostHog, Amplitude, or Mixpanel.
• Experience with pricing and packaging analysis or usage-based billing models.
• Familiarity with LLMs, AI tooling, and using AI agents to accelerate analytical work.
• A GitHub profile, portfolio, side projects, or publications demonstrating independent projects.
• MSc or PhD in Statistics, Mathematics, Computer Science, or an equivalent qualification.

Compensation

The base compensation range is $179,000–$224,000 USD per year. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, hiring level, and geographic location, consistent with applicable law.

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

Nebius is an equal opportunity employer committed to an inclusive and diverse workplace. Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire. Accommodations are available during the application process.