<div><b><span>About BlaBlaCar</span></b></div><div><br /></div><div><span>BlaBlaCar is the world’s leading community-based travel app enabling 27 million members a year to carpool or travel by bus in 21 countries. Our team of 800 employees counts over 50 nationalities and is spread across our 5 global offices, 30% working fully remotely.</span></div><div><br /></div><div><b>Your mission</b></div><div><br /></div><div><span>Were seeking two passionate and experienced Data Scientists to join our data squads, and help us build the intelligent systems that power BlaBlaCar. </span></div><div><br /></div><div><span>• </span><b>Shape the future of our marketplace:</b><span> Develop and deploy machine learning models that optimize our core matching algorithms, ensuring drivers maximize savings and passengers find their perfect ride.</span></div><div><span>• </span><b>Enhance platform trust &amp; efficiency:</b><span> Build intelligent automation solutions, from real-time fraud detection and AI-powered content moderation (text, images) to leveraging generative AI for automated translation and improved customer support.</span></div><div><span>• </span><b>Empower data-driven decisions:</b><span> Create impactful data products and applications that provide actionable insights, particularly for our pricing strategy, directly influencing BlaBlaCars commercial success.</span></div><div><span>• </span><b>Pioneer with generative AI:</b><span> Explore and implement innovative generative AI use-cases to boost internal efficiency, automate operational tasks, and democratize data access across the company.</span></div><div><br /></div><div><b>Your responsibilities:</b></div><div><br /></div><div><span>• </span><b>Develop &amp; deploy ML models:</b><span> Design, build, and ship machine learning models into production, collaborating closely with ML Engineers to directly enhance our core marketplace (e.g., matching, ETA).</span></div><div><span>• </span><b>Implement automation of internal capabilities:</b><span> Implement intelligent solutions for real-time fraud detection, utilize deep learning for profile picture moderation, and leverage LLMs for text moderation and generative AI for tasks like translation.</span></div><div><span>• </span><b>Build data products for business impact:</b><span> Create intuitive data applications and dashboards that directly enable business teams (e.g., pricing analysts) to visualize insights, test hypotheses, and refine strategies.</span></div><div><span>• </span><b>Champion generative AI innovation:</b><span> Actively identify, prototype, and implement generative AI solutions to enhance employee productivity and automate key operational processes.</span></div><div><span>• </span><b>Inform company strategy:</b><span> Leverage your strong business acumen and data expertise to advocate for data-informed decisions, and impact the company’s strategic decisions.</span></div><div><span>• </span><b>Collaborate across a 360° data team:</b><span> Work within our autonomous data team, comprising ML Engineers, Data Analysts, Data Engineers, and fellow Data Scientists, managing projects end-to-end.</span></div><div><br /></div><div><b>Your qualifications:</b></div><div><br /></div><div><span>• At least 3 years of professional experience in data or software engineering, with an experience putting Machine Learning models in production or producing data-based applications. </span></div><div><span>• Knowledge of Machine Learning theory, statistics and probabilities and/or econometrics modeling is required.</span></div><div><span>• Fluency in SQL and Python. Knowledge of main machine learning packages (scikit, XGBoost, etc) and/or MLOPs frameworks (KubeFlow, Tensor FLow, Vertex AI, etc) are a plus. An experience in developing python data visualization apps (Streamlit, Flask, Dash, etc) is also a plus. </span></div><div><span>• Excellent communication skills: You are able to explain your models clearly to both analysts and decision makers.</span></div><div><span>• Pragmatic approach to problems: You can design intermediate solutions in an agile environment, and put them in production.</span></div><div><span>• Strong business sense: You like to partner with business managers to propose new strategies and validate their hypotheses through data.</span></div><div><span>• Fluent in English</span></div><div><br /></div><div><b>What we have to offer:</b></div><div><br /></div><div><span>• Full remote possible in the country of employment</span></div><div><span>• 4 additional weeks on top of legal maternity/paternity leaves</span></div><div><span>• 50% healthcare coverage (Alan)</span></div><div><span>• Financial support for home office equipment</span></div><div><span>• Minimum 25 days holiday per year </span></div><div><span>• Local meal plan policy (Swile card)</span></div><div><span>• 50% transportation paid (Forfait Mobilité Durable)</span></div><div><span>• Personal growth via trainings, mentorship, and internal mobility programs</span></div><div><span>• Free unlimited carpooling &amp; bus rides</span></div><div><span>• Employee Stock ownership plan</span></div><div><span>• Regular team building events</span></div><div><span>• Mental health support through </span><a href="http://Moka.care">Moka.care</a></div><div><span>• 1 day off per year to test our product</span></div><div><span>• 1 day per year for social engagements with non-profits</span></div><div><br /></div><div><b>Interested in joining the ride?</b></div><div><br /></div><div><span>• a 45-min video-call with Maxime Gaudillière, our Talent Acquisition Manager to get to know you, understand your career expectations and answer your questions</span></div><div><span>• a 60-min video-call with </span><a href="https://www.linkedin.com/in/c%C3%A9lia-fischbach-aaaa9358/">Célia Fischbach</a><span>, Engineering Manager, to discuss your experience and share more details about the team</span></div><div><span>• a 90-min technical assessment with 2 Data Scientists: </span><a href="https://www.linkedin.com/in/raphaelberly/">Raphael Berly</a><span>, </span><a href="https://www.linkedin.com/in/fabio-cecchi-48239b69/">Fabio Cecchi</a><span> or </span><a href="https://www.linkedin.com/in/riwan-perron-284054110/">Riwan Perron</a></div><div><span>• a 30-min interview with</span><a href="https://www.linkedin.com/in/emmanuel-martin-chave/"> Emmanuel Martin-Chave</a><span>, VP Data</span></div><div><i>BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</i></div>