Data Scientist

**Data Scientist** **Join our Movement and Champion Restaurant Culture** At TheFork we believe that the best things in life happen around the table. 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. Discover life at TheFork **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 ML ops - 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 The expected outcomes of your role are: - **High business value for projects deployed in production**- Build with your product team impactful projects around personalization, search, product content, forecasting, GenAIto 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** **All the assets produced to deliver these projects should be scalable, performant and cost efficient. Anyone in the team could be onboarded quickly and maintenance costs should be low** - **Bring the Data Enlightenment team to the next level**- AI/ML technical stack improved in order to support the team growth and new projects requirements **Who you are**: - 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** **You can impress with these additions** - 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**: deliverin