Growth Data Scientist employed at Mercari to drive ML initiatives for business impact and user engagement.
About the role
- Data Scientist intern focusing on categorization model improvement at fintech company. Working with LLMs and collaborating with teams for effective solutions development.
Responsibilities
- Improvement of the transaction categorization model
- Development of a challenger model based on LLMs
- Automatic detection of model performance drift
- Deployment and industrialization of developed solutions
- Collaborate with the Data Science team and business teams (Risk, Product)
Requirements
- Master’s degree (M2) from an engineering school or university program specializing in Data Science, Machine Learning, or equivalent field
- Proficient in Python and standard ML libraries (scikit-learn, pandas, numpy)
- Strong knowledge of statistics and machine learning
- Strong interest in LLMs and NLP techniques
- SQL knowledge appreciated
- Autonomous and proactive
- Analytical, curious and solution-oriented
- Ability to simplify and communicate technical concepts to varied audiences
- Interest in deploying models to production and taking full ownership (from development to deployment)
- Willingness to work in a team and tackle complex challenges in the fintech space
Benefits
- Offices located in the heart of Paris (9th arrondissement)
- An international working environment and the opportunity to travel to our offices abroad (Barcelona, Lisbon, Rome)
- Entrepreneurial spirit and strong team culture
- Tailored managerial and HR support during onboarding and throughout your journey at Younited
- Continuous learning environment with access to external and internal training, e-learning platform and Tech team "Friday workshops" to support individual development
- Strong focus on work–life balance
- Parental charter to support family projects through key measures
- Exceptional leave for important personal events, often more generous than statutory provisions
- Hybrid remote policy with 2 to 3 days of remote work per week depending on the team and the possibility of one full-remote week twice a year
- 33 days of paid leave, 8 more than the standard 25 days (in place of traditional RTT)
- Subscription to the Wellpass platform (formerly Gymlib) with 4000+ sports and wellness activities across France at a preferential rate
- Meal vouchers worth €10 covered 60% by the employer
- Team buildings in France (Summer Party and Winter Party), internationally and within teams
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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