Data Scientist Jobs in Paris, EEA

👫About the team At Equativ, we’re on a mission to develop advertising technologies that empower our customers to reach their digital business goals. This means that we rely on massively scalable, widely distributed, highly available, and efficient software systems; the platform deals with over 3 millions requests per second managed by 3,000 servers. Our innovation team based in Paris, Nantes, Limoges, Krakow and Berlin is composed of 100+ straightforward and energetic engineers working in an Agile environment and ready to tackle the most complex technical challenges.

Lead Data Scientist - BI Prediction at Voodoo. Apply via Ashby.

<div class="content-intro"><p><strong data-stringify-type="bold">About Teads</strong></p> <p><br>Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries.</p> <p>For more information, visit <a href="https://www.teads.com">www.teads.com.</a></p></div><div> <h2><span style="font-size: 12pt;">Our main Engineering challenges at Teads</span></h2> <ul> <li><span style="font-size: 12pt;">Build <strong>efficient and easy-to-use web products</strong> used by thousands of users working for the world’s most premium publishers, advertisers, and agencies.</span></li> <li><span style="font-size: 12pt;"><strong>Rich and diverse tech stack and system architecture</strong> to optimize for <strong>performance, scalability, resiliency</strong>, and cost efficiency. We use mostly Scala and TypeScript, among others.</span></li> <li><span style="font-size: 12pt;">Working in a very <strong>high-traffic</strong> environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).</span></li> <li><span style="font-size: 12pt;">Management of <strong>large datasets</strong> with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).</span></li> <li><span style="font-size: 12pt;">A fast-changing environment where we continuously <strong>collaborate with Product teams</strong> and constantly adapt our Cloud infrastructure for <strong>new features and Products</strong>.</span></li> <li><span style="font-size: 12pt;">Bring a wide diversity of profiles to the same level of quality and knowledge</span></li> <li><span style="font-size: 12pt;">Work in an international environment with offices located in Israel, Slovenia and France.</span></li> </ul> </div> <h2><

<p>Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.</p> <p><strong></strong></p> <p><strong>Your future role within QRT:</strong></p> <p class="isSelectedEnd">As part of the Data Search & Analytics team, you will support one of QRT's Options trading streams, working closely with quantitative researchers and traders to source, curate and deliver high-quality data that powers systematic options research and trading.</p> <p class="isSelectedEnd">In addition to the core responsibilities outlined above, you will:</p> <ul data-spread="false"> <li>Source, evaluate and onboard datasets relevant to options and derivatives research.</li> <li>Partner closely with researchers and traders to understand data requirements and translate them into scalable data solutions.</li> <li>Build and maintain robust data pipelines, ensuring the quality, consistency and timeliness of options-related datasets.</li> <li>Develop a strong understanding of options market data and contribute to improving QRT's internal data platform and tooling.</li> <li>Proactively identify opportunities to enhance data coverage, quality and operational efficiency for the Options business.</li> </ul> <p><strong>Your present skillset:</strong></p> <ul data-spread="false"> <li>3+ years of experience as a Data Scientist, Data Engineer or in a similar data-focused role; experience supporting quantitative research or trading teams is advantageous.</li> <li>Experience working with financial market data; exposure to options, derivatives or volatility data is a strong advantage.</li> <li>Strong Python programming skills, with experience using data processing libraries such as Pandas and NumPy.</li> <li>Experience building data pipelines and working with large-scale structured and time-series datasets.</li> <li>Demonstrated interest in financial markets and the application of data to quantitative research and trading.</li> <li>Excellent communication and stakeholder management skills, with the ability to collaborate effectively with researchers, traders, engineers and external data vendors.</li> <li>Ability to thrive in a fast-paced, high-performance environment while managing multiple data initiatives simultaneously.</li> <

<p>Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.</p> <p><span data-olk-copy-source="MessageBody">We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency.  </span></p> <p><strong>Your future role within QRT</strong>  </p> <p>This team is integral to the firm’s success. As such, your responsibilities will include:  </p> <ul type="disc"> <li>Sourcing, designing and onboarding new datasets according to trading desks’ priorities  </li> <li>Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems  </li> <li>Proactively solving data related problems in order to minimise time to production  </li> <li>Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production  </li> </ul> <p><strong>Your present skillset</strong>  </p> <p></p> <ul> <li>3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous</li> <li>Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.</li> <li>Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy</li> <li>Demonstratable interest in financial markets and the application of data in its analysis and understanding</li> <li>Experience working with both traditional and alternative financial datasets</li> <li>Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors</li> <li>Ability to work in a high-performance, high-velocity environment</li> </ul> <p></p> <p>QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and

Tu as envie de travailler dans un environnement bienveillant qui avance vite ? 5ème fournisseur français en 10 ans, Octopus Energy est un fournisseur d’énergies renouvelables qui agit comme un véritable fer de lance pour la révolution électro tech.   Comment on fait ?  On ne peut pas révolutionner le monde en travaillant comme tout le monde On essaye de ne pas trop se prendre la tête, ici on évolue dans un environnement sans trop de process ni trop de règles. Le plus important, ce n’est pas seulement de suivre le mouvement, mais de le créer. On ne veut pas créer des clones d’entreprise. On te veut toi, avec tes talents, tes perspectives et tes compétences uniques. Nous recherchons un.e Lead Data Scientist expérimenté·e et motivé·e pour rejoindre notre équipe commerciale. Le.La Lead Data Scientist sera responsable de la gestion d'une équipe de trois personnes, de la supervision et création d’analyses ou de produits data à forte valeur ajoutée pour soutenir la croissance et l’expérience des clients d’Octopus Energy.   Au sein d’Octopus Energy France, l’équipe Data est composée de sous-équipe appelées des Pods qui correspondent chacun à un ou plusieurs domaines métiers (par exemple, la Finance). Vous serez en charge de gérer et développer le Pod Commercials qui s’occupe des sujets de Ventes, Marketing et Expérience Client.   Ainsi, tes principales missions seront les suivants :  

Data Scientist at Sonio. Apply via Ashby.

<div class="content-intro"><p><strong>About Mirakl:</strong></p> <p>Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.<br><br>Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).<br><br>With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.</p> <p>For more information: <a href="http://www.mirakl.com">www.mirakl.com</a>.</p> <p><strong>Mirakl in Numbers:</strong></p> <ul> <li>🗓️ Founded in 2012 | Member of French Tech Next40</li> <li>👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo</li> <li>🇫🇷 350+ Mirakl Tech teams members mainly based in France</li> <li>⚙️ 5 Saas Solutions</li> </ul> <p><strong>Our Values:</strong></p> <p>Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.</p> <p>Our 5 values guide how we collaborate:</p> <ul> <li>💡<strong> Work Hard Together:</strong> Teamwork and collaboration are the foundation of our success</li> <li>🏆 <strong>Get Things Done: </strong> We prioritize action and efficiency for impactful results</li> <li>🚀 <strong>Go Above & Beyond:</strong>  We tackle challenges proactively and always aim for excellence</li> <li>🎓 <strong>Succeed Through Expertise:</strong> Knowledge sharing and continuous learning are core to our culture</li> <li>🤝 <strong>Satisfy & Empower Clients:</strong> We're committed to our clients' success</li> </ul></div><div class="s-whitespace-pre-wrap s-break-words s-font-normal first:s-pt-0 last:s-pb-0 s-py-1 @md:s-py-2 @md:s-leading-7 s-text-base s-leading-7 s-text-foreground dark:s-text-foreground-night"> <h2 class="s-pb-2 s-pt-4 s-heading-xl s-text-foreground dark:s-text-foreground-night">The Team You'll Join</h2> <div class="s-whitespace-pre-wrap s-break-words s-font-normal first:s-pt-0 las

<div class="content-intro"><p><strong>About Mirakl:</strong></p> <p>Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.<br><br>Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).<br><br>With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.</p> <p>For more information: <a href="http://www.mirakl.com">www.mirakl.com</a>.</p> <p><strong>Mirakl in Numbers:</strong></p> <ul> <li>🗓️ Founded in 2012 | Member of French Tech Next40</li> <li>👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo</li> <li>🇫🇷 350+ Mirakl Tech teams members mainly based in France</li> <li>⚙️ 5 Saas Solutions</li> </ul> <p><strong>Our Values:</strong></p> <p>Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.</p> <p>Our 5 values guide how we collaborate:</p> <ul> <li>💡<strong> Work Hard Together:</strong> Teamwork and collaboration are the foundation of our success</li> <li>🏆 <strong>Get Things Done: </strong> We prioritize action and efficiency for impactful results</li> <li>🚀 <strong>Go Above & Beyond:</strong>  We tackle challenges proactively and always aim for excellence</li> <li>🎓 <strong>Succeed Through Expertise:</strong> Knowledge sharing and continuous learning are core to our culture</li> <li>🤝 <strong>Satisfy & Empower Clients:</strong> We're committed to our clients' success</li> </ul></div><div class="s-whitespace-pre-wrap s-break-words s-font-normal first:s-pt-0 last:s-pb-0 s-py-1 @md:s-py-2 @md:s-leading-7 s-text-base s-leading-7 s-text-foreground dark:s-text-foreground-night"> <h2 class="s-pb-2 s-pt-4 s-heading-xl s-text-foreground dark:s-text-foreground-night">The Team You'll Join</h2> <div class="s-whitespace-pre-wrap s-break-words s-font-normal first:s-pt-0 las

<div class="content-intro"><p>At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.</p> <p>We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.</p> <p>To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.</p> <p>Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.</p> <p>If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.</p></div><p><strong>WHAT YOU'LL DO</strong></p> <p>Our Forward-Deployed Data Scientist team is a group of creative technical experts who design and build end-to-end machine learning solutions that power 1-to-1 personalization for some of the world's leading brands. In this role, you will:</p> <ul> <li><strong>Design ML use cases from the ground up</strong> — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying risks to set each engagement up for success</li> <li><strong>Build and own the full ML pipeline</strong> —  taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end users</li> <li><strong>Drive customer success</strong> by providing ongoing technical guidance that ensures data science performance, successful adoption and measurable outcomes</li> <li><strong>Extend product capabilities</strong> by developing features and tools that support the broader AI deployment team and scale what's possible across engagements</li> <li><strong>Partner with the Braze Product team</strong> to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forward</li> <li><strong>Shape BrazeAI product strategy and roadmap</strong> by bringing customer-facing insights and deep technical expertise to the table</li> </ul> <p><strong>Take a closer lo

<p><strong>Who we are</strong></p> <p>Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.</p> <p>Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.</p> <p>Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.</p> <p><strong>What you will be doing - Key responsibilities</strong></p> <p>As a Senior Data Scientist, you will play a key role in designing, delivering, and scaling AI solutions for our clients. You will be responsible for ensuring technical excellence while mentoring less experienced data scientists and acting as a trusted advisor for business stakeholders.</p> <p>Your main responsibilities will include:</p> <p><strong>Delivering end-to-end AI projects</strong></p> <ul> <li>Frame use cases with business teams, validate data availability, and define the right approach.</li> <li>Design and implement machine learning or generative AI solutions that create measurable business impact.</li> <li>Ensure solutions are robust, scalable, and production-ready by applying software engineering and MLOps best practices.</li> </ul> <p><strong>Driving technical excellence</strong></p> <ul> <li>Translate business requirements into robust AI pipelines and architectures.</li> <li>Promote best practices in coding, testing, and deployment to guarantee maintainability and scalability.</li> <li>Explore and apply advanced AI techniques to solve complex client problems.</li> </ul> <p><strong>Being a trusted advisor for clients and teams</strong></p> <ul> <li>Explain AI approaches in clear and pragmatic terms, highlighting feasibility, risks, and ROI.</li> <li>Build strong relationships with client stakeholders, from operational teams to managers.</li> <li>Act as a go-to expert for technical guidance within projects.</li> </ul> <p><strong>Contributing to team and knowledge development</strong></p> <ul> <li>Mentor junior data scientists, provide feedback, and support their

<p><strong>Who we are</strong></p> <p>Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.</p> <p>Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.</p> <p>Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.</p> <p><strong>What you will be doing - Key responsibilities</strong></p> <p>As a Manager Data Scientist, you will play a central role in the design, delivery and scaling of AI projects for our clients. Reporting to the CTO, your responsibilities will include:</p> <ul> <li><strong>Leading end-to-end client projects:</strong> from framing use cases with business stakeholders to implementing AI solutions that generate measurable impact.</li> <li><strong>Ensuring technical excellence:</strong> promote software engineering and MLOps best practices to deliver scalable solutions and bring them into production.</li> <li><strong>Supporting solution design:</strong> challenging business requirements, validating data availability, and selecting the most appropriate methodologies and architectures.</li> <li><strong>Being the technical reference for clients:</strong> explaining AI approaches in simple terms, providing recommendations on feasibility, risks, and ROI.</li> <li><strong>Developing trusted client relationships:</strong> interacting with C-level and operational teams to position Artefact as a long-term partner on their Data & AI journey.</li> </ul> <p>Beyond these core responsibilities, you will also be involved in:</p> <p><strong>Managing the country’s data science team</strong></p> <ul> <li>Support team staffing, ensuring the right skills are applied to meet project needs.</li> <li>Ensure each individual’s continuous well-being within the team, supporting their growth through mentoring, coaching, and career development plans.</li> <li>Help define the team’s career framework and participate in performance review processes.</li> <li>Challenge existing ways of working and drive innovation to

<p data-start="273" data-end="552">Dans le cadre du renforcement de nos équipes Data & Analytics, nous recherchons un(e) Data Scientist expérimenté(e) pour intervenir sur des projets stratégiques liés aux activités de titrisation et à la transformation des plateformes data au sein d’un environnement CIB complexe.</p> <p data-start="554" data-end="783">Vous participerez à la modernisation des architectures de données, à la fiabilisation des traitements métiers et à l’amélioration de la gouvernance data, tout en collaborant avec des équipes métiers et techniques internationales.</p> <p data-start="258" data-end="633"> </p> <p data-start="635" data-end="770">Vous piloterez des équipes pluridisciplinaires tout en contribuant activement à la définition des stratégies data et IA de nos clients.</p> <p data-start="750" data-end="773"> </p> <p data-start="772" data-end="788"><strong data-start="772" data-end="788">Vos Missions</strong></p> <ul data-start="790" data-end="1306"> <li data-section-id="1w81puw" data-start="790" data-end="911">Piloter des projets Data Science et IA de bout en bout, de la définition des besoins jusqu’au déploiement des solutions</li> <li data-section-id="webrnb" data-start="912" data-end="1005">Construire des modèles de données robustes garantissant l’historisation, la traçabilité et l’auditabilité des données assurance/titrisation</li> <li data-section-id="ykg1zg" data-start="1006" data-end="1099">Concevoir des modèles avancés de machine learning, prédiction, segmentation ou optimisation</li> <li data-section-id="iumh03" data-start="1100" data-end="1215">Accompagner les équipes et assurer le support fonctionnel et technique durant les phases post-migration</li> <li data-section-id="1xu1ief" data-start="1216" data-end="1306">Contribuer au développement commercial et au rayonnement de la practice Data & Analytics</li> </ul> <p data-start="1244" data-end="1273"> </p> <p data-start="1308" data-end="1324"><strong data-start="1308" data-end="1324">Votre Profil</strong></p> <ul> <li data-section-id="b20jr" data-start="235" data-end="404">Solide parcours en Data Science, analytics avancée ou intelligence artificielle acquise en cabinet de conseil ou dans un environnement complexe des services financiers</li> <li data-section-id="1ebocuj" data-start="405" data-end="52

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. 📄 JOB DESCRIPTION   As a Data Scientist, you’ll join our Data Science team, distributed across Paris, Lyon, Barcelona, and Brussels. The team focuses on implementing, maintaining, and continuously improving our recommender systems. Today, we deliver personalized sales recommendations to millions of users in real time—and we’re now scaling to include hundreds of thousands of products. You will design and experiment with algorithms that power personalized recommendations across millions of users. Y ou’ll work with large-scale behavioral and product data to build models that increase engagement and conversion, collaborating closely with ML and Data Engineers to move your ideas to production.

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…

About Mistral    At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   Role summary   We are seeking skilled and motivated Data Scientists to join our team in Paris. You will work at the intersection of product, research, and engineering. You will analyze user behavior, optimize product performance, and design data-driven features that enhance our AI product suite. This role is ideal for someone who thrives in a dynamic environment, enjoys tackling ambiguous problems, and wants to influence our product roadmap directly. The ideal candidate will have a strong background in data analysis, statistical modeling and machine learning, with a proven track record of delivering high-quality results in a fast-paced environment. If you’re passionate about data, curious about AI, and eager to shape the data science strategy and make an impact, this is the role for you.   What you will do   • Define key metrics, understand in-depth the performance of our AI products, and identify opportunities for improvement. • Design and analyze experiments (A/B tests, causal inference) to validate hypotheses and guide product decisions. • Design and implement end-to-end data science projects, from data collection and preprocessing to model building, evaluation, and deployment. • Evaluate model performance in training and production, identifying edge cases, and develop frameworks to measure user satisfaction. • Work with engineering to ensure data quality and accessibility for analytics and ML. • Depending on seniority, mentor peers and share best practices in data science and analytics.   About you   Must-have: • Minimum of 5 years of industry experience as a Data Scientist. • Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. • Proficiency in Python as well as SQL. • Highly technical but with a strong product acumen. • Experience in extracting insights from large and complex data, summarizing findings and sharing takeaways for product and engineering teams. • Strong statistical intuition and experience with experimental design, causal inference and machine learning algorithms. • Excellent communication and ability to explain complex technical concepts to non-technical audiences. • Creative, curious, and innovative—you love exploring new ways to use data. • Low-ego and a team player, eager to collaborate across functions.   Nice-to-have: • Familiarity with DBT or similar tools. • We are looking for folks to work on customer facing products, enterprise products and with the science team, so experience working on one or more related topics is a plus.   Hiring process  • Intro call with Recruiter (30 min) • Hiring Manager Interview (30 min) • Technical interview - Python + Stats/ML (60 min) • Homework Assignment (5-day prep) + Review Presentation (60 min) • Value talk interview (30 min) • References   By applying, you agree to our Applicant Privacy Policy.  

Qui sommes nous ? Chez MARGO, nos consultants travaillent sur ce qui compte vraiment : des projets complexes qui allient challenge intellectuel et impact business réel. C’est pourquoi nous accompagnons les plus grands acteurs de la finance, de l’industrie et de la tech sur leurs projets les plus stratégiques en Data Science, Machine Learning et Intelligence Artificielle. Pourquoi rejoindre la practice IA ? Vous évoluerez au sein d’une équipe encadrée par Hamza Bouanani, Practice Manager IA chez MARGO, également Lead Data Scientist chez BNP Paribas. Travailler à ses côtés, c’est intégrer une équipe d’experts passionnés, être challengé sur le plan technique et méthodologique, et contribuer à des projets à fort impact pour les clients. Vos missions Nous recherchons actuellement un Data Scientist pour un grand groupe industriel français afin de contribuer à un projet stratégique d’optimisation marketing. Vos missions incluront : - Développement et déploiement de modèles de Marketing Mix Modeling (MMM) exploitant de larges volumes de données marketing (TV, digital, réseaux sociaux, expériences de marque, etc.) pour mesurer l’impact des investissements sur les ventes et la valorisation des marques ; - Livraison de modèles à grande échelle sur des marchés stratégiques, intégrant des environnements complexes et hétérogènes ; - Calcul et suivi d’indicateurs clés tels que le ROS (Return on Spend) et le ROI (Return on Investment) par canal et par marque ; - Interaction directe avec les équipes marketing afin de fournir des recommandations sur l’allocation budgétaire optimale ; - Participation à l’évolution du code et des approches dans le cadre de futures migrations de données ; - Contribution à de nouveaux projets autour de l’IA générative appliquée à la création de contenus marketing. Environnement technique Infrastructure : Azure Préparation des données : PySpark, Databricks, Snowflake Développement ML : Python (VS Code), AzureML Outils de développement : Git (Azure DevOps), Postman, Streamlit Documentation : Notion Méthodologie : Agile / Scrum Profil recherché Nous cherchons des ingénieurs et data scientists exigeants, passionnés par l’IA et souhaitant évoluer dans des environnements complexes. - Formation Bac+5 (école d’ingénieur, université, PhD apprécié) ; - Expérience en Data Science appliquée à des problématiques business (idéalement marketing, pricing, allocation budgétaire, etc.) ; - Maîtrise de Python et des bibliothèques ML (scikit-learn, XGBoost, PyTorch, TensorFlow, etc.) ; - Connaissance des environnements cloud (Azure, Databricks, Snowflake) ; - Goût du travail collaboratif avec les équipes métier et capacité à vulgariser les résultats ; - Esprit analytique, rigueur et sens du challenge. Ce que nous offrons - Des missions ambitieuses et variées, toujours sélectionnées pour leur valeur ajoutée ; - Un accompagnement de proximité par des experts reconnus ; - Une communauté d’ingénieurs passionnés, avec workshops, conférences et échanges réguliers ; - Une culture d’exigence technique, de partage des connaissances et de développement continu. La suite ? Premier entretien : Échangez avec un recruteur et un business developer Entretien Technique : Montrez vos compétences et recevez un retour d'expérience Entretien de Motivation : Rencontrez un membre du comité de direction ENGAGEMENT POUR L'INCLUSION MARGO s'engage à offrir des opportunités égales à tous, nous cultivons un environnement de travail inclusif qui valorise la diversité.

Qui sommes nous ? Chez MARGO, nos consultants travaillent sur ce qui compte vraiment : des projets complexes qui allient challenge intellectuel et impact business réel. C’est pourquoi nous accompagnons les plus grands acteurs de la finance, de l’industrie et de la tech sur leurs projets les plus stratégiques en Data Science, Machine Learning et Intelligence Artificielle. Pourquoi rejoindre la practice IA ? Vous évoluerez au sein d’une équipe encadrée par Hamza Bouanani, Practice Manager IA chez MARGO, également Lead Data Scientist chez BNP Paribas. Travailler à ses côtés, c’est intégrer une équipe d’experts passionnés, être challengé sur le plan technique et méthodologique, et contribuer à des projets à fort impact pour les clients. Vos missions Nous recherchons actuellement un Data Scientist pour un groupe industriel français  : Vous interviendrez sur plusieurs projets : - Projet pricing * Optimisation des prix à l'échelle * Estimation de l'impact des variations de prix et recommandations pour maximiser les ventes et les marges du groupe * Optimisation des prix selon les contraintes business, en interaction directe avec les métiers * Participation à la mise en production - Projet segmentation client * Amélioration de la qualité des données pour optimiser le ciblage des campagnes marketing ; * Réalisation de modèles de classification et régression simples, robustes et efficaces. - Recommandations * Définition et mise en place de réductions ciblées pour fidéliser les clients ; * Création d'outils d’aide à la décision pour les vendeurs, intégrant recommandations sur clients et produits ; * Collaboration étroite avec les métiers pour évaluer l’impact et le ROI des recommandations. - Votre rôle inclura également : * Phase de cadrage et définition des besoins avec les utilisateurs finaux ; * Phase R&D : analyse de données, tests et développement de modèles simples et efficaces ; * Validation avec les métiers et mise en production avec les équipes data engineering ; * Monitoring et suivi des modèles via dashboards Databricks. Profil recherché Nous cherchons des ingénieurs et data scientists exigeants, passionnés par l’IA et souhaitant évoluer dans des environnements complexes. - Formation bac+5 (école d’ingénieur, université, PhD apprécié) ; - Solides compétences en Python et bibliothèques ML/DL (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.) ; - Expérience en projets industriels à grande échelle, idéalement avec des équipes pluridisciplinaires ; - Intérêt marqué pour les environnements exigeants où la qualité prime sur la quantité ; - Esprit analytique, sens du challenge et goût pour les projets à forte valeur ajoutée. Ce que nous offrons - Des missions ambitieuses et variées, toujours sélectionnées pour leur valeur ajoutée ; - Un accompagnement de proximité par des experts reconnus ; - Une communauté d’ingénieurs passionnés, avec workshops, conférences et échanges réguliers ; - Une culture d’exigence technique, de partage des connaissances et de développement continu. La suite ? Premier entretien : Échangez avec un recruteur et un business developer Entretien Technique : Montrez vos compétences et recevez un retour d'expérience Entretien de Motivation : Rencontrez un membre du comité de direction ENGAGEMENT POUR L'INCLUSION MARGO s'engage à offrir des opportunités égales à tous, nous cultivons un environnement de travail inclusif qui valorise la diversité.