Data Scientist

BlaBlaCar; Paris; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

A leading travel technology platform in Paris is seeking a Data Scientist to join their data squad. In this role, you will develop machine learning models to optimize travel solutions and enhance platform trust through automation. You will need at least 3 years of experience in data or software engineering, a strong background in machine learning, and proficiency in SQL and Python. The company offers competitive benefits, including additional vacation days and healthcare coverage.

Prestations

Additional leave days

Healthcare coverage

Home office support

Employee Stock ownership plan

Free carpooling & bus rides

Personal development opportunities

Team building events

Qualifications

• At least 3 years of experience deploying Machine Learning models.
• Knowledge in statistics and econometric modeling.
• Strong ability to communicate complex models to diverse audiences.
• Experience in developing data applications and dashboards.

Responsabilités

• Develop and deploy machine learning models to enhance marketplace operations.
• Implement automation for fraud detection and profile moderation.
• Create data applications that provide business insights.
• Collaborate with cross-functional teams to drive data-informed decisions.

Connaissances

Machine Learning

SQL

Python

Data Visualization

Communication Skills

Problem-solving

Business Sense

Formation

3+ years in data/software engineering

Outils

scikit-learn

TensorFlow

KubeFlow

Description du poste

About BlaBlaCar

BlaBlaCar is the worlds 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

Were seeking a passionate Data Scientist 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 BlaBlaCars 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 companys 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

• 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)
• Free unlimited carpooling & bus rides
• Personal growth via trainings mentorship and internal mobility programs
• Employee Stock ownership plan
• Regular team building events
• 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 30-min video-call with Maxime Gaudilliere Talent Acquisition Manager to get to know you understand your career expectations and answer your questions
• a 45-min video-call with Fabio Cecchi hiring manager
• a 90-min technical assessment with 1 Data Scientist & 1 Software Engineer

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

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.