Job description
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, 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
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
- 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
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: 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 bring the outside in: seeking excellence, you have developed habits to benchmark and consider how other companies are doing, what best practices could be source of inspiration and systematically consider how they can apply in your specific business context
- You act as a team player, communicating efficiently and thinking collectively rather than individually (you can see the value brought by these collective concerns)
What we offer you
😄 An awesome team
🏠 A permanent contract (that can be useful in life)
⚖️Flexible working environment (2 days home office per week + up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)
💸 Competitive fixed salary and bonus
🍕 Lunch vouchers available for each working day (because yes, we like to try our best restaurants)
🌎 International teams and a multicultural environment spanning 10 offices across Europe
🤝 Highly inclusive working environment
🤸♀️ Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc
🎓 Continuous learning and development programs
😌 Free access to the Calm app to help you build resilience wherever you are in your mental health journey
🐣Dedicated parental leave and caregiver leave policies (12 weeks fully paid)
🏥Health insurance covered by the company
👶 Financial support for birth, adoption, civil partnerships, or marriage
🚝 Transport allowance
🏥Health insurance fully covered by the company
👩🦽 Life & Disability Insurance at no cost to the employee
🍴 Amazing offices with dining, coffee points and leisure area
🎤 Team building events
We believe that we are better together, and we welcome you for who you are. We endeavor to ensure that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great.
TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application, interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to [email protected]. Our HR team will review the request and respond accordingly.
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