Data Scientist
- Paris
- CDI
- Temps-plein
As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world's favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries.We're part of the Tripadvisor Group and proud to be building a diverse, people-first culture where “respect”, “ownership”, “growth” and “better together” values thrive.
If you're passionate about food, technology, and making a real impact, your seat at the table is ready.👉What you will do:As a Data Scientist, you will be part of the Data Enlightenment team (including Data Scientist, Software Engineers and Product Managers) having the mission to empower TheFork with a strong data foundation and culture, leveraging Data Science and AI, leading to disruptive marketplace innovations.You will report to the Data Science Manager and be part of a team of 3 other Data scientists.As a key player of the Data Science team, you will be onboarded within one product team to help them accelerate their strategy and related projects thanks to Data Science/ML/IA.You will have the opportunity to work on TheFork B2C (website/app) and B2B (TheFork Manager) products. You will develop a deep understanding of TheFork value proposition for B2C/B2B customers in order to deliver best in class data / AI components.As Data Enlightenment team is also responsible for driving the construction of the AI/ML platform, you'll be involved in ML ops activities, working closely with Data Ops, ML Ops and other technical stakeholders involved in the definition of the components, tools and processes required to deliver AI/ML products in production.Example of projects you could be involved in :Data Science / AI&ML
- Build recommendations algorithms to be integrated on our app / website
- Improve the way restaurants are ranked in our search engine
- Build an agent to automatically classify restaurants based on reviews, images, menus and other source of data
- Leverage GenAI to generate restaurant description from reviews
- Build a dashboard to properly monitor costs of AI/ML projects
- Automate the release of ML models in production and manage efficiently their lifecycle
- Monitor the performance of GenAI and ML systems
- High business value for projects deployed in production
- Build with your product team impactful projects around personalization, search, product content, forecasting, GenAI… to be delivered in production
- You'll work closely with product managers, software engineers, ops and other data stakeholders in order to deliver well shaped, monitored and actionable projects for B2C/B2B end users.
- Scalable and performant assets
- Bring the Data Enlightenment team to the next level
- Data Enlightenment team upskilled around Deep Learning and at least one of the following application fields : Reinforcement Learning, Computer Vision, Ranking, NLP, Search, Recommendation…
- AI/ML technical stack improved in order to support the team growth and new projects requirements
- You have a Master's Degree of an Engineering School with a specialization in mathematics, computer science or Data Science / a PhD in mathematics, physics or computer science
- You have at least 4 years of experience as a Data Scientist or ML Engineer
- You have experience related to integration of AI / Machine Learning in a B2C/B2B product used by millions of customers (like marketplaces)
- You have excellent analytical skills, involving data analysis and modeling, you are able to modelize complex problems, find the best insights in large datasets and summarize findings in a clear and actionable way
- You have knowledge and industry experience in Deep Learning and at least one of the following topics : Computer Vision, Ranking, NLP, Search, Recommendation
- You have excellent coding skills in Python and SQL in order to develop POCs then work on their industrialization and integration in the product with Product & Engineering teams
- Expertise about Data Science industrialization (ML Engineering)
- Your English is professional
- The position is based in Paris
- Experience in building an AI/ML platform (ML ops) would be particularly appreciated
- Experience with AWS is a nice to have
- You are working in an autonomous, proactive and accountable way: you don't wait to be told what to do.
- You demonstrate an obsession towards excellence: you systematically consider that good is not enough and constantly consider how to improve and reach the next level of quality, performance and impact
- You play agile and fast: delivering in a fast-paced environment is an easy business for you. You are comfortable to manage several topics in parallel, with different stakeholders involved.
- You act as a team player, communicating efficiently and thinking collectively rather than individually (you can see the value brought by these collective concerns)