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Data Scientist - Job Opportunity at TheFork

Paris, France
Full-time
Senior
Posted: August 8, 2025
Hybrid
EUR 65,000 - 85,000 annually, reflecting senior-level data science compensation in Paris technology sector with additional performance bonuses. TheFork's position as a Tripadvisor subsidiary and market leader likely positions compensation in the upper range for similar roles in French tech companies.

Benefits

Competitive compensation package with performance-based bonuses providing financial incentives aligned with company success
Flexible hybrid work environment offering 2 days home office weekly plus 4 additional weeks of full remote work during summer and December, enhancing work-life balance
Daily lunch vouchers for each working day, encouraging restaurant exploration and supporting the company's core mission
Comprehensive lifestyle benefits covering physical activities, leisure, family support, and travel expenses, promoting holistic well-being
Extensive learning and development programs supporting continuous professional growth and skill advancement
Mental health support through free Calm app access, demonstrating commitment to employee psychological well-being
Industry-leading parental leave policy with 12 weeks fully paid leave, supporting family life transitions
Complete health insurance coverage by the company, eliminating personal healthcare cost burdens
Life and Disability Insurance at no employee cost, providing financial security and peace of mind
Modern office facilities with dining areas, coffee points, and leisure spaces fostering collaborative work environment
Regular team building events strengthening workplace relationships and company culture
Transportation allowance reducing commuting costs and supporting sustainable mobility options

Key Responsibilities

Drive marketplace innovation through advanced data science and AI solutions that directly impact millions of restaurant booking experiences across 11 European countries
Lead the development of sophisticated recommendation algorithms for B2C platforms, fundamentally transforming how diners discover and engage with restaurants
Architect and optimize search engine ranking systems that determine restaurant visibility and booking conversion rates across TheFork's ecosystem
Build intelligent automation systems for restaurant classification using multi-modal data sources including reviews, images, and menus to enhance platform accuracy
Pioneer generative AI applications for content creation, specifically developing systems to generate compelling restaurant descriptions from user-generated content
Establish and maintain MLOps infrastructure including cost monitoring dashboards that ensure sustainable and efficient AI/ML operations at scale
Implement automated model deployment pipelines and lifecycle management systems that enable rapid iteration and reliable production releases
Develop comprehensive monitoring frameworks for GenAI and ML systems ensuring consistent performance and early detection of model drift
Collaborate cross-functionally with product managers, software engineers, and operations teams to deliver scalable, production-ready data science solutions
Champion data-driven decision making by transforming complex analytical insights into clear, actionable recommendations for business stakeholders
Contribute to the evolution of TheFork's AI/ML technical stack, supporting team growth and enabling next-generation product capabilities
Mentor and upskill team members in advanced deep learning techniques and specialized application domains including computer vision, NLP, and recommendation systems

Requirements

Education

Master's Degree from an Engineering School with specialization in mathematics, computer science, or Data Science, or PhD in mathematics, physics, or computer science

Experience

At least 4 years of experience as a Data Scientist or ML Engineer with specific experience in AI/Machine Learning integration for B2C/B2B products serving millions of customers

Required Skills

Excellent analytical skills involving data analysis and modeling Ability to modelize complex problems Find the best insights in large datasets Summarize findings in a clear and actionable way Knowledge and industry experience in Deep Learning At least one of the following topics: Computer Vision, Ranking, NLP, Search, Recommendation Excellent coding skills in Python and SQL Expertise about Data Science industrialization (ML Engineering) Professional English
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Sauge AI Market Intelligence

Industry Trends

The restaurant technology sector is experiencing unprecedented growth driven by digital transformation accelerated by post-pandemic dining behaviors, with online restaurant booking platforms becoming essential infrastructure for the hospitality industry. Companies like TheFork are positioned at the intersection of multiple high-growth areas including marketplace economics, recommendation systems, and AI-powered content generation. The integration of generative AI for content creation and personalization represents a significant competitive advantage in the crowded restaurant discovery space. European marketplace consolidation is creating opportunities for platform leaders to expand their technological capabilities and market reach. TheFork's position within the Tripadvisor ecosystem provides unique access to cross-platform data and resources, enabling more sophisticated AI implementations than standalone competitors. The focus on both B2C and B2B products reflects industry recognition that successful restaurant platforms must serve both diners and restaurant operators with equal sophistication. MLOps and AI infrastructure maturity has become a critical differentiator in technology companies, with organizations investing heavily in automated model deployment, monitoring, and lifecycle management. The emphasis on cost monitoring and performance tracking reflects the industry's movement toward sustainable AI operations as compute costs for large language models and recommendation systems continue to scale with user growth.

Role Significance

Part of a 4-person data science team within the larger Data Enlightenment organization, working closely with software engineers, product managers, and MLOps specialists. The collaborative structure suggests significant peer interaction and shared technical ownership across multiple product initiatives.
Senior individual contributor role with significant technical leadership responsibilities and direct impact on product strategy. The position requires autonomous decision-making and the ability to influence cross-functional teams while contributing to the technical direction of the company's AI/ML capabilities.

Key Projects

Large-scale recommendation engine development serving millions of users with real-time personalization capabilities Search ranking optimization projects directly impacting restaurant discovery and booking conversion rates Multi-modal AI systems combining text, image, and structured data for automated content classification and generation MLOps infrastructure projects enabling scalable model deployment and monitoring across B2C and B2B platforms Generative AI applications for content creation and enhancement, particularly in restaurant description and review summarization

Success Factors

Technical excellence in implementing production-scale machine learning systems that can handle millions of daily interactions while maintaining low latency and high accuracy. Success requires deep understanding of both theoretical ML concepts and practical engineering constraints in high-traffic consumer applications. Cross-functional collaboration skills enabling effective partnership with product managers, software engineers, and business stakeholders to translate complex technical capabilities into clear business value. The role demands ability to communicate technical concepts to non-technical audiences while maintaining scientific rigor. Product intuition and business acumen to identify high-impact opportunities for AI/ML applications within the restaurant booking ecosystem. Success requires understanding both diner behavior patterns and restaurant business needs to build solutions that benefit both sides of the marketplace. Autonomous problem-solving capabilities with proactive approach to identifying and addressing technical challenges before they impact production systems. The fast-paced environment requires ability to prioritize effectively and deliver results without extensive oversight.

Market Demand

Very high demand reflecting the critical importance of AI and machine learning capabilities in competitive marketplace environments, with particular premium on professionals who can bridge technical implementation and business impact in consumer-facing applications.

Important Skills

Critical Skills

Python and SQL proficiency represents the foundation for all technical work, enabling data manipulation, model development, and integration with existing systems. These skills are essential for rapid prototyping and production implementation in the fast-paced environment. Deep Learning expertise is critical given the company's focus on recommendation systems, content generation, and multi-modal AI applications. The ability to work with neural networks, particularly in NLP and computer vision contexts, directly impacts the most strategic product initiatives. ML Engineering and industrialization skills are essential for moving from research prototypes to production systems serving millions of users. Understanding of model deployment, monitoring, and lifecycle management enables sustainable AI operations at scale. Analytical problem-solving abilities enable identification of high-impact opportunities within complex marketplace dynamics and translation of business requirements into technical solutions that deliver measurable value.

Beneficial Skills

AWS expertise would accelerate infrastructure work and enable more sophisticated cloud-native AI applications, particularly valuable as the company scales its ML operations across European markets Experience with generative AI and large language models would be increasingly valuable as the company explores content generation and automated restaurant description capabilities Marketplace economics understanding would enhance ability to design AI systems that balance diner satisfaction with restaurant business outcomes, critical for sustainable platform growth Computer vision skills would enable innovative applications using restaurant images and menu photos, areas of growing importance for content classification and recommendation enhancement

Unique Aspects

Opportunity to impact millions of dining experiences across Europe through advanced AI and machine learning systems, working at the intersection of technology and hospitality in ways that directly enhance both diner discovery and restaurant success
Access to unique multi-modal datasets combining restaurant information, diner behavior, reviews, images, and operational data that provide exceptional opportunities for innovative AI applications not available in other industries
Integration with Tripadvisor ecosystem providing broader context for recommendation systems and content generation, enabling more sophisticated personalization than standalone restaurant platforms
Focus on both B2C and B2B applications requiring technical solutions that serve both consumer-facing experiences and restaurant business operations, providing diverse technical challenges and broader impact

Career Growth

2-4 years to senior individual contributor or management roles, with faster progression possible given the high-growth nature of the restaurant technology sector and increasing demand for experienced ML practitioners with production system experience.

Potential Next Roles

Senior Data Science Manager or Principal Data Scientist roles leading larger technical teams and driving AI strategy across multiple product areas Head of AI/ML or Chief Data Officer positions in marketplace or consumer technology companies, leveraging experience in scalable ML systems Product leadership roles in AI-driven consumer applications, combining technical background with product strategy experience Technical leadership positions in larger technology companies or consulting roles helping other organizations implement similar AI/ML capabilities

Company Overview

TheFork

TheFork operates as Europe's leading restaurant booking platform, connecting diners with restaurants across 11 countries as part of the larger Tripadvisor ecosystem. The company sits at the intersection of hospitality technology, marketplace economics, and consumer behavior analytics, with significant data assets from both diner interactions and restaurant operations.

Market leader in European restaurant booking with significant competitive advantages through network effects, data scale, and integration with Tripadvisor's broader travel and hospitality ecosystem. The company's position enables unique cross-platform insights and AI applications not available to smaller competitors.
Paris represents a key strategic location for European technology operations, providing access to strong technical talent while maintaining proximity to major restaurant markets. The location enables close collaboration with both local restaurant partners and broader European operations.
Technology-forward culture emphasizing data-driven decision making, rapid experimentation, and cross-functional collaboration. The company's values of respect, ownership, growth, and 'better together' suggest a collaborative environment with emphasis on individual accountability and collective success.
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