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Data Scientist
Paris, Ile-de-France, France
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
What you’ll work on
Full postingYou will work at the intersection of product, research, and engineering.
Define key metrics, understand in-depth the performance of our AI products, and identify opportunities for improvement.
You will analyze user behavior, optimize product performance, and design data-driven features that enhance our AI product suite.
From the employer’s posting
The Role We are seeking skilled and motivated Data Scientists to join our team in Paris. You will work at the intersection of product, research, and engineering. You will analyze user behavior, optimize product performance, and design data-driven features that enhance our AI product suite. This role is ideal for someone who thrives in a dynamic environment, enjoys tackling ambiguous problems, and wants to influence our product roadmap directly. The ideal candidate will have a strong background in data analysis, statistical modeling and machine learning, with a proven track record of delivering high-quality results in a fast-paced environment. If you’re passionate about data, curious about AI, and eager to shape the data science strategy and make an impact, this is the role for you. What You Will Do
What You Will Do Define key metrics, understand in-depth the performance of our AI products, and identify opportunities for improvement. Design and analyze experiments (A/B tests, causal inference) to validate hypotheses and guide product decisions.
Benefits in the posting
Full benefits wording- We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
- Privacy Policy
From the employer’s posting.
About mistral.ai
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 2026today
- Recorded sightings
- 1
- Employer says posted
- Jul 8, 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
mistral.ai is hiring
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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
What We're Looking For • Proficiency in Python as well as SQL. • Highly technical but with strong product acumen.
• Hiring Manager Interview (30 min) • Technical interview - Python + Stats/ML (60 min) • Live Case (60 min)
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
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Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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 Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
We are seeking skilled and motivated Data Scientists to join our team in Paris. You will work at the intersection of product, research, and engineering. You will analyze user behavior, optimize product performance, and design data-driven features that enhance our AI product suite. This role is ideal for someone who thrives in a dynamic environment, enjoys tackling ambiguous problems, and wants to influence our product roadmap directly. The ideal candidate will have a strong background in data analysis, statistical modeling and machine learning, with a proven track record of delivering high-quality results in a fast-paced environment. If you’re passionate about data, curious about AI, and eager to shape the data science strategy and make an impact, this is the role for you.
What You Will Do
• Define key metrics, understand in-depth the performance of our AI products, and identify opportunities for improvement.
• Design and analyze experiments (A/B tests, causal inference) to validate hypotheses and guide product decisions.
• Design and implement end-to-end data science projects, from data collection and preprocessing to model building, evaluation, and deployment.
• Evaluate model performance in training and production, identifying edge cases, and develop frameworks to measure user satisfaction.
• Work with engineering to ensure data quality and accessibility for analytics and ML.
• Depending on seniority, mentor peers and share best practices in data science and analytics.
What We're Looking For
• Proficiency in Python as well as SQL.
• Highly technical but with strong product acumen.
• Experience in extracting insights from large and complex data, summarizing findings and sharing takeaways for product and engineering teams.
• Strong statistical intuition and experience with experimental design, causal inference and machine learning algorithms.
• Excellent communication and ability to explain complex technical concepts to non-technical audiences.
• Creative, curious, and innovative—you love exploring new ways to use data.
Hiring process
• Intro call with Recruiter (30 min)
• Hiring Manager Interview (30 min)
• Technical interview - Python + Stats/ML (60 min)
• Live Case (60 min)
• Value talk interview (30 min)
• References
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
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
Paris, Ile-de-France, France
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.