Data Scientist

Mistral
Paris
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Product acumen","Analytical thinking"]

Build data-driven features and optimize Mistral’s AI product suite by defining key metrics, analyzing user behavior, and designing experiments such as A/B tests and causal inference. Own end-to-end data science projects from data collection and preprocessing through model building, evaluation, and deployment. Partner with engineering to improve data quality and accessibility, and evaluate model performance in both training and production.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Mistral
Mistral
2 months ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build data-driven features and optimize Mistral’s AI product suite by defining key metrics, analyzing user behavior, and designing experiments such as A/B tests and causal inference. Own end-to-end data science projects from data collection and preprocessing through model building, evaluation, and deployment. Partner with engineering to improve data quality and accessibility, and evaluate model performance in both training and production.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Define key metrics and analyze performance of AI products to identify improvement opportunities.
  • •Design and analyze experiments (A/B tests, causal inference) to validate hypotheses and guide product decisions.
  • •Lead end-to-end data science projects from data collection and preprocessing through model building, evaluation, and deployment.
  • •Evaluate model performance in training and production, identifying edge cases and building frameworks to measure user satisfaction.
  • •Partner with engineering to ensure data quality and accessibility for analytics and ML; mentor peers as needed.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocation SupportWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

  • •Proficiency in Python and SQL.
  • •Strong statistical intuition with experience in experimental design and causal inference.
  • •Experience applying machine learning algorithms and delivering high-quality results in a fast-paced environment.
  • •Ability to extract insights from large, complex datasets and clearly summarize takeaways for product and engineering teams.
  • •Excellent communication skills to explain complex technical concepts to non-technical audiences.
Skills:CommunicationProduct acumenAnalytical thinking
Tech Stack:PythonSQLA/B testingCausal inferenceMachine learning

Company Brief

Mistral
Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedIn