Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 7 and day 57.
At Nebius, jobs usually come down by about day 67.
From 10,541 similar postings that came down, and 50 of Nebius’s. Coming down is not always a hire.
Senior Product Analyst / Data Scientist
Amsterdam, Netherlands; Remote - Europe
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
Remote — work setting source
Listed location: Amsterdam, Netherlands; Remote - Europe
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDefine core product and business metrics and build a single source of truth
Build a view of self-service customers covering usage, health, retention risks and growth
Turn customer demand and commercial plans into capacity forecasts and allocation decisions
Develop and evaluate pricing and packaging models, including commitments and provisioned throughput
Measure effective capacity utilization and find ways to raise its commercial value
From the employer’s posting
Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on
Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities
Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions
Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units
Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity
About Nebius
Nebius is leading a new era in cloud infrastructure for the global AI economy.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 6, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Nebius is hiring
19 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Its jobs tend to stay up a long time
- 11% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
We expect you to have: - 5+ years of experience in analytics or data science. - Strong Python, SQL, and statistics: you understand the code and the methods you use. - Hands-on experience analysing large-scale customer, product, and usage datasets using statistical / analytical or distributed data-processing tools. - AI-assisted coding as your default way of working: you guide it, verify it, and own the result. - The ability to go from a question to a production-ready solution. - The ability to turn complex data into clear recommendations. - Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability. - Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products. - Strong cross-functional collaboration skills across Product, Engineering, Data, Finance, Sales, and Operations. - A hands-on and proactive working style, with the ability to operate effectively in an ambiguous and technically complex environment. Nice to have:
Your next step
Complete your application on careers.nebius.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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. 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.
The role:
In Token Factory analytics there is no split into product analysts, ML engineers and data engineers. Each person owns a question end to end: builds the data, runs the analysis, and comes back with a recommendation that changes a decision.
Your responsibilities will include:
- Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on.
- Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities.
- Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions.
- Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity.
- Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units.
- Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, and capacity.
- Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements.
We expect you to have:
- 5+ years of experience in analytics or data science.
- Strong Python, SQL, and statistics: you understand the code and the methods you use.
- Hands-on experience analysing large-scale customer, product, and usage datasets using statistical / analytical or distributed data-processing tools.
- AI-assisted coding as your default way of working: you guide it, verify it, and own the result.
- The ability to go from a question to a production-ready solution.
- The ability to turn complex data into clear recommendations.
- Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability.
- Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products.
- Strong cross-functional collaboration skills across Product, Engineering, Data, Finance, Sales, and Operations.
- A hands-on and proactive working style, with the ability to operate effectively in an ambiguous and technically complex environment.
Nice to have:
- Familiarity with LLM inference economics: tokens, throughput and latency, batching, GPU costs.
Benefits & Perks:
- 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
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Amsterdam, Netherlands; Remote - Europe
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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.