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A prominent dining platform in Paris is searching for a Data Scientist to join their Data Enlightenment team. This role focuses on developing data-driven solutions for both B2C and B2B offerings. Candidates should have a Master's or PhD in a related field, at least 4 years of relevant experience, and proficiency in Python and SQL. The position offers a flexible working environment, competitive salary, and benefits, including mental health support and parental leave provisions.
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.
As a Data Scientist, you will be part of the Data Enlightenment team (including Data Scientists, 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, developing a deep understanding of TheFork value proposition for B2C/B2B customers to deliver best in class data / AI components.
As Data Enlightenment team is 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 to define components, tools and processes required to deliver AI/ML products in production.
Example of projects you could be involved in:
The expected outcomes of your role are:
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
You can impress with these additions
You bring the outside in: benchmark and apply best practices from other companies to your context
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