Data Scientist job opportunity at Mistral AI.



Date2024-03-26 bot
Mistral AI Data Scientist
Experience: 2-years
Pattern: Full-time
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loacation Paris, France
loacation Paris....France
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<p> </p><p><strong style="font-size: 24px;">About Mistral&nbsp;</strong></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. </span></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.</span></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">We are a dynamic, collaborative team passionate about AI and its potential to transform society.</span></p> <p><span style="font-size: 16px;">Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.</span></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on&nbsp;</span><a rel="noopener noreferrer" href="https://mistral.ai/careers" style="font-size: 16px;" class="postings-link">https://mistral.ai/careers</a><span style="font-size: 16px;">.</span></p> <p>&nbsp;</p> <strong style="font-size: 24px;">Role summary</strong><p></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">We are seeking </span><strong style="font-size: 16px;">skilled and motivated Data Scientists</strong><span style="font-size: 16px;"> to join our team in Paris. You will work at the intersection of </span><strong style="font-size: 16px;">product, research, and engineering</strong><span style="font-size: 16px;">. You will analyze user behavior, optimize product performance, and design data-driven features that enhance our AI product suite. </span><span style="font-size: 16px;">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. </span><span style="font-size: 16px;">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.</span></p> <p>&nbsp;</p> <p><strong style="font-size: 24px;">What you will do</strong></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">•&nbsp;Define key metrics, understand in-depth the performance of our AI products, and identify opportunities for improvement.</span></p> <p><span style="font-size: 16px;">• Design and analyze experiments (A/B tests, causal inference) to validate hypotheses and guide product decisions.</span></p> <p><span style="font-size: 16px;">• Design and implement end-to-end data science projects, from data collection and preprocessing to model building, evaluation, and deployment.</span></p> <p><span style="font-size: 16px;">• Evaluate model performance in training and production, identifying edge cases, and develop frameworks to measure user satisfaction.</span></p> <p><span style="font-size: 16px;">• Work with engineering to ensure data quality and accessibility for analytics and ML.</span></p> <p><span style="font-size: 16px;">• Depending on seniority, mentor peers and share best practices in data science and analytics.</span></p> <p>&nbsp;</p> <p><strong style="font-size: 24px;">About you</strong></p> <p>&nbsp;</p> <p><strong style="font-size: 18px;">Must-have:</strong></p> <p><span style="font-size: 16px;">• Minimum of 2 years of industry experience as a&nbsp;</span><strong style="font-size: 16px;">Data Scientist</strong><span style="font-size: 16px;">.</span></p> <p><span style="font-size: 16px;">• Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.</span></p> <p><span style="font-size: 16px;">• Proficiency in </span><strong style="font-size: 16px;">Python </strong><span style="font-size: 16px;">as well as&nbsp;</span><strong style="font-size: 16px;">SQL</strong><span style="font-size: 16px;">.</span></p> <p><span style="font-size: 16px;">• Highly technical but with a strong product acumen.</span></p> <p><span style="font-size: 16px;">• Experience in extracting insights from large and complex data, summarizing findings and sharing takeaways for product and engineering teams.</span></p> <p><span style="font-size: 16px;">• Strong statistical intuition and experience with experimental design, causal inference and machine learning algorithms.</span></p> <p><span style="font-size: 16px;">• Excellent communication and ability to explain complex technical concepts to non-technical audiences.</span></p> <p><span style="font-size: 16px;">• </span><strong style="font-size: 16px;">Creative, curious, and innovative</strong><span style="font-size: 16px;">—you love exploring new ways to use data.</span></p> <p><span style="font-size: 16px;">• </span><strong style="font-size: 16px;">Low-ego</strong><span style="font-size: 16px;">&nbsp;and a team player, eager to collaborate across functions.</span></p> <p>&nbsp;</p> <p><strong style="font-size: 18px;">Nice-to-have:</strong></p> <p><span style="font-size: 16px;">• Familiarity with&nbsp;</span><strong style="font-size: 16px;">DBT</strong><span style="font-size: 16px;">&nbsp;or similar tools.</span></p> <p><span style="font-size: 16px;">• We are looking for folks to work on customer facing products, enterprise products and with the science team, so experience working on one or more related topics is a plus.</span></p> <p>&nbsp;</p> <p><strong style="font-size: 18px;">Hiring process&nbsp;</strong></p> <p> </p><p><span style="font-size: 16px;">• Intro call with Recruiter (30 min)</span></p> <p><span style="font-size: 16px;">• Hiring Manager Interview (30 min)</span></p> <p> </p><p><span style="font-size: 16px;">• Technical interview - Python + Stats/ML (60 min)</span></p> <p><span style="font-size: 16px;">• Homework Assignment (5-day prep) + Review Presentation (60 min)</span></p> <p></p> <p><span style="font-size: 16px;">• Value talk interview (30 min)</span></p> <p><span style="font-size: 16px;">• References</span></p> <p>&nbsp;</p> <p> </p><p><span style="font-size: 11pt;">By applying, you agree to our&nbsp;<a href="https://legal.mistral.ai/terms/applicant-privacy-policy">Applicant Privacy Policy</a>.</span></p> <p>&nbsp;</p> <p></p> <p></p>\n<p></p><p><br></p><p></p>\n<p><span style="font-size: 24px;">Location &amp; Remote</span></p> <p>&nbsp;</p> <p>The position is based in our Paris HQ offices and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours.</p> <p>&nbsp;</p> <p><span style="font-size: 24px;">What we offer</span></p> <p>&nbsp;</p> <p>💰 Competitive salary and equity package</p> <p>🧑‍⚕️ Health insurance</p> <p>🚴 Transportation allowance</p> <p>🥎 Sport allowance</p> <p>🥕 Meal vouchers</p> <p>💰 Private pension plan</p> <p>🍼 Generous parental leave policy</p> <p>&nbsp;</p> <p><span style="font-size: 16px;">By applying, you agree to our <a href="https://legal.mistral.ai/terms/applicant-privacy-policy">Applicant Privacy Policy</a>.</span></p>

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