Confirmed Data Scientist

BlaBlaCar; Paris; À distance; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading community-based travel app is seeking experienced Data Scientists to develop machine learning models and enhance platform efficiency. The role involves data-driven decision-making and innovative AI solutions. Candidates should have strong expertise in ML and programming, with excellent communication skills. This position offers full remote work and various perks including health coverage and personal development opportunities.

Prestations

Full remote possible

4 additional weeks on maternity/paternity leave

50% healthcare coverage

Financial support for home office equipment

Minimum 25 days holiday

Local meal plan policy

50% transportation paid

Trainings and mentorship opportunities

Free unlimited carpooling & bus rides

Employee stock ownership plan

Regular team building events

Mental health support

1 day off per year to test our product

1 day per year for social engagements

Qualifications

• At least 3 years of professional experience in data or software engineering.
• Fluent in SQL and Python with knowledge of ML packages.
• Strong communication skills to explain models clearly.
• Pragmatic approach to design solutions in an agile environment.

Responsabilités

• Develop and deploy machine learning models.
• Implement intelligent solutions for fraud detection.
• Create data applications and dashboards.
• Identify and implement generative AI solutions.

Connaissances

Machine Learning

Python

SQL

Data Visualization

Communication

Problem-solving

Business Acumen

Statistics

Formation

Degree in Data Science or related field

Outils

scikit-learn

XGBoost

KubeFlow

TensorFlow

Description du 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.