Data Scientist

Requirements

• Minimum of 2 years of industry experience as a Data Scientist.
• Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Proficiency in Python as well as SQL.
• Highly technical but with a 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.
• Low-ego and a team player, eager to collaborate across functions.

Nice to Have

• Familiarity with DBT or similar tools.
• Experience working on customer-facing products, enterprise products, or with the science team.

What you will be doing

• 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.

Perks and Benefits

• Dynamic and collaborative team passionate about AI.
• Competitive environment fostering innovation.
• Global team distributed between France, USA, UK, Germany, and Singapore.
• Creative, low-ego, and team-spirited culture.
• Opportunity to shape the future of AI and make a meaningful impact.