
Veepee · Paris
Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products a...
Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products available for a limited time. Operating across various sectors, including fashion, home, wine, travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries.
As a data scientist at Veepee, you will join our Data Science Team of 20 people, fully cloud-native and distributed between Paris, Barcelona and Brussels.
Your main mission will be to build, deploy and maintain state-of-the-art machine learning algorithms. A key focus of this role is the improvement of our price recommendation algorithm — a strategic initiative to optimize margin per visitor.
You will also contribute to other core topics such as demand forecasting, product recommendation, genAI pipelines, image recognition…
YOUR IMPACT We are looking for a Senior Data Engineer to join the AI Team working on our AI Medical Companion. Your mission will be to build and optimize the data foundations that power safe, scalable, and impactful AI models. You will work on data infrastructure for LLM, VLM, and RAG-based systems, ensuring our engineers and data scientists can train, evaluate, and deploy AI models efficiently on high-quality, well-structured, and compliant data. Your work will directly support health professionals in delivering better care while improving their work-life balance, ultimately impacting 80 million patients and 400,000 healthcare professionals across Europe. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. WHAT YOU'LL DO Your responsibilities include but are not limited to: * Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases * Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models * Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently * Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules that ensure privacy, scalability, and reliability * Integrate unstructured and structured data sources (text, speech, image, documents, metadata) into unified data models ready for AI consumption * Optimize performance and cost of data pipelines using GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI) * Contribute to data quality and lineage frameworks, ensuring AI models are trained on validated, auditable, and compliant datasets * Continuously evaluate and improve our data stack to accelerate AI experimentation and deployment WHO YOU ARE Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: * You have 5+ years of experience in Data Engineering, ideally supporting AI or ML workloads * You have strong experience with the GCP data ecosystem and proficiency in Python and SQL * You have deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search) * You have experience designing data architectures for RAG, embeddings, or model training pipelines * You have knowledge of data governance, security, and compliance for sensitive or regulated data * You are fluent in English It would be fantastic if you: * You hold a Master's or Ph.D. degree in Computer Science, Data Engineering, or a related field * You have familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning * You have experience with containerized environments (Docker, Kubernetes) and CI/CD for data workflows LIFE AT DOCTOLIB TECH * Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. * Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. WHAT WE OFFER * Free comprehensive health insurance (basic package) for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * Parent Care Program: receive one additional month of leave on top of the legal parental leave * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training OUR INTERVIEW PROCESS * Recruiter Interview * Technical Deep Dive * System Design Interview * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. JOB DETAILS * Permanent position * Tech stack: GCP, Python, SQL, NoSQL, Vector Databases, AI/ML * Full-time * Paris, France * Hybrid work setup (up to 2 remote days per week) * Start date: as soon as possible WE WELCOME EVERYONE At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! YOUR DATA PRIVACY All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data. Operators of transportation hubs like airports and train stations but also sport venues, road infrastructures and industrial sites can now access accurate and anonymous Spatial Intelligence data, in order to improve operations and increase user safety and satisfaction. Our international team of scientists and engineers drive the development of our solutions from Paris, San Francisco, Sophia-Antipolis (Nice) & Hong Kong. To support our global outreach, we also operate a commercial office in Spain. You can find below an interesting link about who we are and what we do : Insights about Outsight Our Passenger Flow Traffic Monitoring solution is trusted by the world’s leading airports and train stations across four continents, including the most renowned hubs celebrated for their operational excellence and exceptional passenger experience. We also deploy our solutions in other markets such as Tourism, Retail and Sports. Additionally, our Car Traffic Remote Monitoring product is trusted by several Tier 1 customers, including BMW. Context We are seeking a senior systems thinker to anchor the data lifecycle of Outsight's spatial events. This individual will own the structural flow of high-volume event data processing from our internal Perception stack and 3rd-party datasets, translating them into well-modeled, hyper-performant warehouse layers and clean semantic models. Responsibilities Design, construct, and maintain production-grade ELT pipelines processing streaming spatial data and telemetry. Architect and manage schemas within Databricks and AWS environments, prioritizing zero-data-loss and ultra-low latency. Build out and optimize the central semantic abstraction layer using Cube.js, ensuring clean data consumption contracts. Collaborate with internal team to package reliable data pipeline integration blueprints for the Professional Services delivery squads. Requirements for the role Agentic Workflow & Productivity Edge: You must possess deep familiarity with structuring semantic layers specifically to be accurately browsed and mapped by LLM-driven agents. The ideal candidate actively utilizes advanced AI coding frameworks to multi-thread feature delivery and automate pipeline unit testing, achieving an outsized development cadence. Why join us? Be part of the team pioneering Spatial Intelligence solutions at unprecedented scale—the breakthrough technology transforming how the world’s most prestigious airports, infrastructure operators, and smart cities understand and optimize physical flows. As a 7-time Gartner-recognized category-defining leader with dozens of global awards including “Edge AI Product of the Year,” “LiDAR Leader Award,” “CES Best of Innovation” and many more, we’re backed by 37 patents and deployments with the most prestigious (and challenging) customers across four continents. Join our international team of world-class experienced engineers and business leaders solving humanity’s most complex spatial challenges, from passenger flow optimization to autonomous robotics coordination, while working at the cutting edge of 3D AI, LiDAR perception, and real-time analytics. Supported by rock-solid investors including BNP Paribas, BPI France, Energy Innovation Capital and Demeter who back our long-term vision, this is your opportunity to shape how physical and digital worlds interact, with the resources, growth trajectory, and technical challenges that will accelerate your career in ways traditional companies cannot offer. Outsight is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Outsighters don't make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Outsight also strives for a healthy and safe workplace, and prohibits harassment of any kind. If you have a disability or special need that requires accommodation, please let us know.
Les entreprises qui performent décident mieux. Depuis 2006, Ekimetrics aide les organisations à transformer leurs décisions en avantage concurrentiel durable grâce à des solutions d'IA. Notre double ambition est d'allier performance et durabilité, pour construire un leadership pérenne. Nos solutions sont une combinaison unique de People et de technologie. Notre plateforme Eki.Decisions complète l'expertise de nos équipes en marketing, efficacité commerciale et data science, pour connecter l'IA aux décisions qui structurent toute l'organisation. Avec une équipe 100% internalisée et des bureaux à Paris, Londres, New York, Hong Kong et Shanghai, nous nous engageons pour une IA responsable et frugale, pour garantir un avantage concurrentiel constant, et pour rester fidèles à nos valeurs et à notre ADN. Votre mission En tant que Senior AI & ML Engineer, vous intervenez sur des projets clients variés (retail, banque & assurance, luxe...), en régie directement au sein des équipes de nos clients ou depuis nos bureaux, en fonction des missions. Vous êtes un maillon clé entre la donnée, la technologie et les enjeux métier de nos clients, avec un rôle moteur sur le cadrage technique et l'accompagnement des profils plus juniors. * Concevoir, développer et industrialiser des solutions d'IA (machine learning, deep learning, GenAI/LLM) répondant à des problématiques métier concrètes ; * Concevoir et arbitrer les architectures data & MLOps robustes et scalables (Azure, Databricks, GCP, AWS...), en garantissant leur qualité technique ; * Assurer la mise en production, le monitoring et l'amélioration continue des modèles en environnement client ; * Encadrer et faire monter en compétences les profils plus juniors sur les projets, à travers du mentorat technique et des code reviews ; * Collaborer avec data scientists, data engineers, consultants et équipes métier pour cadrer les besoins et livrer des solutions à fort impact ; * Participer activement au cadrage technique et à l'avant-vente de nouvelles missions. Votre profil * Diplômé.e d'une école d'ingénieur, d'un master universitaire ou équivalent, avec une spécialisation en IA / Data Science ; * 4 à 6 ans d'expérience en tant qu'AI Engineer, ML Engineer ou Data Scientist avec une forte dimension engineering, idéalement acquise en conseil ou en régie ; * Maîtrise de Python et des frameworks ML/DL (scikit-learn, PyTorch, TensorFlow, Hugging Face) ; * Expérience sur au moins un cloud provider (Azure, GCP ou AWS) et les outils MLOps (Databricks, MLflow, Airflow, Docker, Kubernetes...) ; * Bonnes pratiques de software engineering : versioning, tests, CI/CD, code review ; * Une expérience sur les technologies GenAI/LLM (RAG, fine-tuning, agents) est un vrai plus ; * Une appétence pour le mentorat et l'encadrement technique d'équipes projet ; * Aisance relationnelle avec les clients, capacité à vulgariser des sujets techniques et goût pour le mode conseil ; * Curiosité, autonomie, esprit d'équipe et envie d'avoir un impact concret ; * Anglais professionnel. Pourquoi nous rejoindre ? Chez Ekimetrics, vos idées comptent vraiment et vous appartiennent : à vous de leur donner vie. Nous cultivons un esprit entrepreneurial qui vous encourage à repousser les limites pour créer un impact significatif. Mais il ne s'agit pas seulement de réussites individuelles : nous avançons ensemble, en nous enrichissant mutuellement. Ensemble, nous apprenons et progressons en continu, que ce soit à travers des parcours de carrière personnalisés, des projets stimulants, du mentorat, ou simplement grâce à la diversité des perspectives que chacun.e apporte. Et surtout, nous croyons au plaisir dans le travail. Ekimetrics est un environnement stimulant et bienveillant, où chacun.e peut s'épanouir en étant pleinement soi-même. En 2023, Ekimetrics a obtenu le statut d'entreprise à mission qui témoigne de notre ambition forte en matière de RSE. Notre raison d'être : Faire de la data science et de l'intelligence artificielle l'accélérateur de la transformation durable des organisations. Ekimetrics fait partie du classement French Tech 120 ! Nous avons été sélectionnés par La French Tech pour rejoindre le prestigieux groupe des 120 scale-ups françaises les plus performantes, avec un fort potentiel pour devenir des leaders internationaux. Vous aurez accès : * A un package salarial compris entre 59 K€ et 68 K€ + prime d'intéressement ; * Au catalogue de formation Eki.Academy qui contient des programmes qui vous feront monter en compétences sur nos solutions et nos métiers, des parcours apprenants sur notre plateforme digitale ainsi que des programmes dédiés à nos enjeux prioritaires, dont la sensibilisation aux sujets environnementaux avec la Climate School ; * A une vie sportive, artistique, musicale, ludique, caritative et engagée : de notre salle de sport privatisée à nos expositions d'art, en passant par des jeux vidéo et des concerts, ou encore les défis RSE sur la plateforme Vendredi. Toutes ces initiatives sont portées par nos Eki.People ; * De nombreux évènements et séminaires pour rester proche de votre communauté ; * Des locaux chaleureux dans un quartier dynamique au cœur de Paris (Grands boulevards) ; * Une politique de télétravail flexible, avec 3 jours de présence obligatoire par tranche de 15 jours. En tant qu'employeur, Ekimetrics offre à tous les mêmes opportunités d'accès à l'emploi sans distinction de genre, ethnicité, religion, orientation sexuelle, statut social, handicap et d'âge. Ekimetrics veille à développer un environnement de travail inclusif qui reflète la diversité dans ses équipes.