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Confirmed Data Scientist

Confirmed Data Scientist

BlaBlaCarParis, Île-de-France, France
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

About BlaBlaCar

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.

Your mission

We're seeking two passionate and experienced Data Scientists to join our data squads, and help us build the intelligent systems that power BlaBlaCar.

  • Shape the future of our marketplace : Develop and deploy cutting-edge machine learning models that optimize our core matching algorithms, ensuring drivers maximize savings and passengers find their perfect ride.
  • Enhance platform trust & efficiency : 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.
  • Empower data-driven decisions : Create impactful data products and applications that provide actionable insights, particularly for our pricing strategy, directly influencing BlaBlaCar's commercial success.
  • Pioneer with generative AI : Explore and implement innovative generative AI use-cases to boost internal efficiency, automate operational tasks, and democratize data access across the company.

Your responsibilities :

  • Develop & deploy ML models : Design, build, and ship machine learning models into production, collaborating closely with ML Engineers to directly enhance our core marketplace (e.g., matching, ETA).
  • Implement automation of internal capabilities : 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.
  • Build data products for business impact : Create intuitive data applications and dashboards that directly enable business teams (e.g., pricing analysts) to visualize insights, test hypotheses, and refine strategies.
  • Champion generative AI innovation : Actively identify, prototype, and implement generative AI solutions to enhance employee productivity and automate key operational processes.
  • Inform company strategy : Leverage your strong business acumen and data expertise to advocate for data-informed decisions, and impact the company's strategic decisions.
  • Collaborate across a 360° data team : Work within our autonomous data team, comprising ML Engineers, Data Analysts, Data Engineers, and fellow Data Scientists, managing projects end-to-end.

    • Your qualifications :

  • 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.
  • Knowledge of Machine Learning theory, statistics and probabilities and / or econometrics modeling is required.
  • 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.
  • Excellent communication skills : You are able to explain your models clearly to both analysts and decision makers.
  • Pragmatic approach to problems : You can design intermediate solutions in an agile environment, and put them in production.
  • Strong business sense : You like to partner with business managers to propose new strategies and validate their hypotheses through data.
  • Fluent in English

    • What we have to offer :

  • Full remote possible in the country of employment
  • 4 additional weeks on top of legal maternity / paternity leaves
  • 50% healthcare coverage (Alan)
  • Financial support for home office equipment
  • Minimum 25 days holiday per year
  • Local meal plan policy (Swile card)
  • 50% transportation paid (Forfait Mobilité Durable)
  • Personal growth via trainings, mentorship, and internal mobility programs
  • Free unlimited carpooling & bus rides
  • Employee Stock ownership plan
  • Regular team building events
  • Mental health support through Moka.care
  • 1 day off per year to test our product
  • 1 day per year for social engagements with non-profits

    • Interested in joining the ride?

  • 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
  • a 60-min video-call with Célia Fischbach, Engineering Manager, to discuss your experience and share more details about the team
  • a 90-min technical assessment with 2 Data Scientists : Raphael Berly, Fabio Cecchi or Riwan Perron
  • a 30-min interview with Emmanuel Martin-Chave, VP Data

    • BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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