<div><b><span style="font-size:18px;">About BlaBlaCar</span></b></div><div><br></div><div><span style="font-size:16px;">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 style="font-size:18px;">Your mission</b></div><div><br></div><div><span style="font-size:16px;">We're 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 style="font-size:16px;">• </span><b style="font-size:16px;">Shape the future of our marketplace:</b><span style="font-size:16px;"> Develop and deploy cutting-edge machine learning models that optimize our core matching algorithms, ensuring drivers maximize savings and passengers find their perfect ride.</span></div><div><span style="font-size:16px;">• </span><b style="font-size:16px;">Enhance platform trust &amp; efficiency:</b><span style="font-size:16px;"> 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 style="font-size:16px;">• </span><b style="font-size:16px;">Empower data-driven decisions:</b><span style="font-size:16px;"> Create impactful data products and applications that provide actionable insights, particularly for our pricing strategy, directly influencing BlaBlaCar's commercial success.</span></div><div><span style="font-size:16px;">• </span><b style="font-size:16px;">Pioneer with generative AI:</b><span style="font-size:16px;"> 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><span style="font-size:18px;">Your responsibilities:</span></b></div><div><br></div><div><span style="font-size:16px;">• </span><b style="font-size:16px;">Develop &amp; deploy ML models:</b><span style="font-size:16px;"> 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 style="font-size:16px;">• </span><b style="font-size:16px;">Implement automation of internal capabilities:</b><span style="font-size:16px;"> 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 style="font-size:16px;">• </span><b style="font-size:16px;">Build data products for business impact:</b><span style="font-size:16px;"> 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 style="font-size:16px;">• </span><b style="font-size:16px;">Champion generative AI innovation:</b><span style="font-size:16px;"> Actively identify, prototype, and implement generative AI solutions to enhance employee productivity and automate key operational processes.</span></div><div><span style="font-size:16px;">• </span><b style="font-size:16px;">Inform company strategy:</b><span style="font-size:16px;"> 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 style="font-size:16px;">• </span><b style="font-size:16px;">Collaborate across a 360° data team:</b><span style="font-size:16px;"> 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><span style="font-size:18px;">Your qualifications:</span></b></div><div><br></div><div><span style="font-size:16px;">• 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 style="font-size:16px;">• Knowledge of Machine Learning theory, statistics and probabilities and/or econometrics modeling is required.</span></div><div><span style="font-size:16px;">• 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 style="font-size:16px;">• Excellent communication skills: You are able to explain your models clearly to both analysts and decision makers.</span></div><div><span style="font-size:16px;">• Pragmatic approach to problems: You can design intermediate solutions in an agile environment, and put them in production.</span></div><div><span style="font-size:16px;">• Strong business sense: You like to partner with business managers to propose new strategies and validate their hypotheses through data.</span></div><div><span style="font-size:16px;">• Fluent in English</span></div><div><br></div><div><b style="font-size:18px;">What we have to offer:</b></div><div><br></div><div><span style="font-size:16px;">• Full remote possible in the country of employment</span></div><div><span style="font-size:16px;">• 4 additional weeks on top of legal maternity/paternity leaves</span></div><div><span style="font-size:16px;">• 50% healthcare coverage (Alan)</span></div><div><span style="font-size:16px;">• Financial support for home office equipment</span></div><div><span style="font-size:16px;">• Minimum 25 days holiday per year </span></div><div><span style="font-size:16px;">• Local meal plan policy (Swile card)</span></div><div><span style="font-size:16px;">• 50% transportation paid (Forfait Mobilité Durable)</span></div><div><span style="font-size:16px;">• Personal growth via trainings, mentorship, and internal mobility programs</span></div><div><span style="font-size:16px;">• Free unlimited carpooling &amp; bus rides</span></div><div><span style="font-size:16px;">• Employee Stock ownership plan</span></div><div><span style="font-size:16px;">• Regular team building events</span></div><div><span style="font-size:16px;">• Mental health support through </span><a href="http://Moka.care"><span style="font-size:16px;">Moka.care</span></a></div><div><span style="font-size:16px;">• 1 day off per year to test our product</span></div><div><span style="font-size:16px;">• 1 day per year for social engagements with non-profits</span></div><div><br></div><div><b style="font-size:18px;">Interested in joining the ride?</b></div><div><br></div><div><span style="font-size:16px;">• 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 style="font-size:16px;">• a 60-min video-call with </span><a style="font-size:16px;" href="https://www.linkedin.com/in/c%C3%A9lia-fischbach-aaaa9358/">Célia Fischbach</a><span style="font-size:16px;">, Engineering Manager, to discuss your experience and share more details about the team</span></div><div><span style="font-size:16px;">• a 90-min technical assessment with 2 Data Scientists: </span><a style="font-size:16px;" href="https://www.linkedin.com/in/raphaelberly/">Raphael Berly</a><span style="font-size:16px;">, </span><a style="font-size:16px;" href="https://www.linkedin.com/in/fabio-cecchi-48239b69/">Fabio Cecchi</a><span style="font-size:16px;"> or </span><a style="font-size:16px;" href="https://www.linkedin.com/in/riwan-perron-284054110/">Riwan Perron</a></div><div><span style="font-size:16px;">• a 30-min interview with</span><a style="font-size:16px;" href="https://www.linkedin.com/in/emmanuel-martin-chave/"> Emmanuel Martin-Chave</a><span style="font-size:16px;">, VP Data</span></div><br><br><br><div>BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>

<p><span style="font-weight: 400;">BlaBlaCar is the world&rsquo;s leading community-based travel app enabling 27 million active members a year to share a ride in 21 countries. Its technology matches drivers with empty seats with passengers heading the same way, so they can share the cost of the trip. With the mission to be the go-to marketplace for shared travel, BlaBlaCar combines carpooling with bus journeys from over 5 000 operators to offer a wide choice of affordable and sustainable travel solutions, all in one app.</span></p>
<p><br /><span style="font-weight: 400;">In 2023, BlaBlaCar&rsquo;s trusted community connected 2,4 million meeting points worldwide and enabled 104 million human encounters. Carpool drivers saved 513 million euros, and all BlaBlaCar&rsquo;s mobility services contributed to avoiding 2 million tonnes of CO</span><span style="font-weight: 400;">2</span><span style="font-weight: 400;"> emissions.</span></p>

Confirmed Data Scientist

<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>We're 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 cutting-edge 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 BlaBlaCar's 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><span>Your responsibilities:</span></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><span>Your qualifications:</span></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.&nbsp;</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.&nbsp;</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&nbsp;</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"><span>Moka.care</span></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><br><br><br><div>BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>

Confirmed Data Scientist

About the Job

About the Company

BlaBlaCar

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