We are seeking a skilled and motivated Data Scientist to join our growing team at Mistral AI. 

The ideal candidate will have a strong background in machine learning, data analysis, and statistical modeling, with a proven track record of delivering high-quality results in a fast-paced environment. 

As a Data Scientist, you will work closely with our interdisciplinary team of engineers, researchers, and product managers on the following:

- Build or implement the relevant tools to improve our understanding of our users and usage of our services 

- Develop and apply machine learning algorithms, statistical models, and data mining techniques to extract valuable insights from large and complex datasets.

- Design and implement end-to-end data science projects, from data collection and preprocessing to model building, evaluation, and deployment.

- Analyze the usage of our products (including lechat) in order to improve them based on observed usage

- Build cohort analysis to understand user behaviors and answer some key questions related to usage; churn,..

- Study causal association between usage & retention rate and Identify features that lead to increase retention of our users 

- Conduct in-depth analysis of complex data sets to identify trends, patterns, and anomalies  

- Design and implemented data quality controls to ensure accuracy and integrity of data  

- Communicate findings and recommendations to stakeholders in clear and concise reports and presentations  

- Develop data-driven insights to identify opportunities to improve the product or build new products

- Propose, design, and analyze large scale online experiments

- Work collaboratively with cross-functional partners identify opportunities for largest business impact

- Self-started; start-up mindset 

- Autonomous 

- Highly technical but with a strong product acumen

- Strong problem-solving and critical thinking skills, with a proven ability to work independently and as part of a team.

- Minimum 3 years of industry experience as a Data Scientist or equivalent.

- Experience in experimental design and analysis, exploratory data analysis and statistical analysis.

- Proficiency in programming languages such as Python, R

- Proficiency in SQL.

- Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.

- Strong knowledge of statistical analysis, machine learning algorithms, and data mining techniques.

- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.

- Experience working with large and complex datasets, including data preprocessing, cleaning, and transformation.