TL;DR

Senior Data Scientist: Develop and deploy machine learning models and generative AI solutions to optimize %hirify_global%'s marketplace, enhance platform trust, and empower data-driven decisions. Focus on building intelligent automation, real-time fraud detection, and impactful data products for pricing strategy and operational efficiency.

Location: Paris or Remote from France

Company

%hirify_global% is the world’s leading community-based travel app enabling carpooling and bus travel across 21 countries with a diverse, global team.

What you will do

Develop and deploy machine learning models to improve core marketplace functions like matching and ETA.
Implement intelligent automation for fraud detection, content moderation, and generative AI applications.
Create data products and dashboards to support business teams and pricing strategies.
Lead generative AI innovation to boost internal efficiency and automate operational tasks.
Manage a portfolio of data science projects and collaborate with stakeholders.
Mentor junior data scientists and foster cross-functional collaboration.

Requirements

Location: Paris or remote from France
At least 5 years of experience in data or software engineering with production ML models.
Strong knowledge of machine learning theory, statistics, and econometrics.
Fluency in SQL and Python; experience with ML packages and MLOps frameworks is a plus.
Excellent communication skills to explain models to analysts and decision makers.
Fluent English required

Culture & Benefits

Additional 4 weeks maternity/paternity leave beyond legal requirements.
50% healthcare coverage and financial support for home office equipment.
Minimum 25 days holiday per year plus local meal plan and transportation benefits.
Personal growth through trainings, mentorship, and internal mobility.
Employee stock ownership plan and free unlimited carpooling and bus rides.
Regular team building events and dedicated days for product testing and social engagement.

Hiring process

45-minute video call with Talent Acquisition Manager.
60-minute video call with Engineering Manager.
90-minute technical assessment with Data Scientist and Software Engineer.
30-minute interview with VP Engineering.