Data Scientist: AI Product & Experimentation

United States Digital Space LLC

Paris

On-site

EUR 60,000 - 95,000

Full time

14 days+
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Benefits offered by this job

Healthcare coverage
Relocation support
Retirement plans
Wellness programs
Meal allowance
Transportation allowance

Job summary

Mistral in Paris seeks a Data Scientist to 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 and wants to influence our product roadmap directly. The ideal candidate will have a strong background in data analysis, statistics, and machine learning, with a track record of delivering

Qualifications

  • Proficiency in Python and SQL.
  • Strong statistical intuition and experience with experimental design, causal inference, and ML algorithms.
  • Experience extracting insights from large, complex data and communicating findings to product/engineering teams.
  • Excellent communication and ability to explain complex concepts to non-technical audiences.

Responsibilities

  • Define key metrics and understand AI product performance to identify improvement opportunities.
  • Design and analyze experiments (A/B tests, causal inference) to validate hypotheses for product decisions.
  • Design and implement end-to-end data science projects from data collection to deployment.
  • Evaluate model performance in training and production and identify edge cases.
  • Collaborate with engineering to ensure data quality and accessibility for analytics and ML.
  • Mentor peers and share best practices in data science and analytics (seniority dependent).

Skills

Python
SQL
Statistics
Experiment design
Causal inference
Machine learning
Data visualization

Tools

Pandas
Scikit-learn

Job description

Mistral in Paris seeks a Data Scientist to 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 and wants to influence our product roadmap directly. The ideal candidate will have a strong background in data analysis, statistics, and machine learning, with a track record of delivering

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