Experienced Data Scientist / AI Engineer

Nūmi is an innovative bioproduction platform utilizing human mammary cells to create essential ingredients with scientifically validated health benefits throughout all stages of life. Specifically, we are the pioneering European cultivated breast milk company, focused on generating human milk components that closely align with optimal nutrition for infants! As a dynamic early-stage startup, we are on a mission to transform how we nourish the next generation. If you're looking to be part of a rapidly growing, venture capital-backed biotech startup, Nūmi could be your next great opportunity!Situated in the heart of Paris (Hôpital Cochin, Paris 14), Nūmi is supported by esteemed international investors, leading scientists, and prominent academic institutions.Our Culture & Values Positivity: We foster a positive environment at Nūmi, where our mission encourages passionate and energetic communication, always keeping our larger impact in focus. We celebrate small victories but remain committed to our ultimate goals.Excellence: At Nūmi, we define excellence through dedication and a continuous improvement mindset. We view challenges as opportunities to learn and strive for high-quality outcomes. Our growth is driven by effort, attention to detail, and integrity, both as individuals and as a team.Teamwork and Pedagogy: We believe that collaboration strengthens us at Nūmi. We promote knowledge sharing, constructive feedback, and mutual respect, ensuring that every team member contributes to our collective success.Ambition: We set bold goals and encourage expansive thinking at Nūmi. Driven by innovative ideas and determination, we aim high to create meaningful change.Why This Role MattersIn our work at Nūmi, the capacity to identify “golden” cell lines, batches, and conditions relies heavily on our ability to effectively collect, organize, and leverage our data, rather than merely increasing the volume of experiments.Currently, our experimental data encompasses:Electronic Lab Notebook (ELN) entriesSpreadsheetsBioreactor and equipment outputsAnalytical and Quality Control (QC) readoutsThis position is essential for transforming our fragmented data landscape into a cohesive, reliable, and actionable data layer that empowers R&D, informs scale-up decisions, and supports regulatory and industrialization initiatives.As a Lead Data Scientist, you will be a pivotal contributor to advancing scientific progress at Nūmi.Your ResponsibilitiesEstablish Nūmi’s Scientific Data InfrastructureOversee the development of scalable data models and ontologies that accurately reflect experimental workflows, metadata standards, and the scientific landscape.Facilitate the harmonization and integration of data across ELNs, spreadsheets, instruments, assays, and analytical systems into a centralized, user-friendly platform.

Role OverviewJoin our innovative team at Mistral in the heart of Paris as a Data Scientist. In this pivotal role, you will collaborate closely with product management, research, and engineering teams to analyze user behaviors, enhance product performance, and develop data-driven features aimed at advancing our cutting-edge AI product suite.We are looking for individuals who thrive in fast-paced, dynamic environments and enjoy solving complex problems. This is an exciting opportunity for those who wish to directly influence our product roadmap. The successful candidate will possess a robust background in data analysis, statistical modeling, and machine learning, with a track record of achieving exceptional results in high-pressure situations.If you're passionate about data, enthusiastic about AI, and ready to make a substantial impact on our data science strategy, we invite you to apply.Key Responsibilities• Define essential metrics, thoroughly assess the performance of our AI offerings, and pinpoint areas for enhancement.• Design and conduct experiments (A/B tests, causal inference) to validate hypotheses and inform product strategies.• Spearhead end-to-end data science projects, encompassing data collection, preprocessing, model development, evaluation, and deployment.• Assess model performance in both training and production environments, identifying edge cases and creating frameworks to gauge user satisfaction.• Collaborate with engineering teams to ensure the integrity and accessibility of data for analytics and machine learning applications.• Depending on your level of expertise, mentor colleagues and disseminate best practices in data science and analytics.Candidate ProfileEssential Qualifications:• A minimum of 2 years of professional experience as a Data Scientist.• A Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.• Proficiency in Python and SQL.• A strong technical aptitude complemented by excellent communication skills.

Join our dynamic team at Gorgias as a Data Scientist specializing in Large Language Models (LLM). In this role, you will harness the power of data to drive insights and innovations, collaborating with cross-functional teams to enhance our products and services. Your expertise will be pivotal in analyzing complex datasets and developing predictive models that will shape the future of our technology.

Join Gorgias as a Senior Data Scientist and contribute to the evolution of our data-driven decision-making processes. In this vital role, you will leverage your expertise to analyze complex datasets, derive actionable insights, and drive strategic initiatives that enhance our customer support solutions.Your ability to work collaboratively with cross-functional teams will be key in translating data into compelling narratives that guide business strategy. We are looking for a candidate with a passion for data science, a strong analytical mindset, and the ability to communicate findings effectively.

Our Mission:At Avisia, we engage in 100% data-driven projects that blend technical and operational dimensions. Depending on your profile and interests, you will have the chance to work on projects that tackle purely technical challenges or more business-oriented issues.Our clients span a range of diverse sectors including Luxury, Retail, Telecommunications, Banking, and Insurance. You will encounter a variety of data science themes in your projects.Here are some current project examples:Designing models to forecast sales generated on an e-commerce platform for a retailer. #ForecastingDeveloping and industrializing a recommendation engine aimed at optimizing conversion rates for website visitors. #RecommendationCreating an attrition score to identify slowly declining customers for a major retail company. #ChurnImplementing customer segmentation to enhance marketing and sales actions for a brand (targeting, retention, based on channel preferences). #CustomerSegmentation

Join Veepee as a Senior Data Scientist and play a pivotal role in enhancing our innovative recommender systems. Work with a talented team across Paris, Lyon, Barcelona, and Brussels to develop cutting-edge algorithms that deliver personalized sales recommendations to millions of users in real-time. Utilize large-scale behavioral and product data to create models that drive engagement and conversion, collaborating closely with ML and Data Engineers to bring your ideas to life.

Join Our Innovative Data Science TeamAs a pivotal member of the data science team at Fabulous, you will collaborate across various departments to drive data-informed decisions that enhance our business operations in areas such as Product Growth, User Acquisition, and Finance.The team focuses on three primary data domains:Data Project Management: We prioritize and manage requests based on business needs, refining requirements with stakeholders while ensuring effective communication and feedback loops.Applied Analytics & Data Science: We employ a data exploration approach, balancing simplicity and complexity to define agile analytics strategies. Every new project begins with a robust Data Science component during its MVP phase.Analytics Engineering: We engage in data modeling and transformations, developing and scaling our analytics pipelines. Following MVP validation, we iteratively improve implementations within our dbt project, focusing on testing and data observability.Expectations & Responsibilities:Engage in high-priority projects that enhance Fabulous' data-driven culture through collaboration with business teams, aiming for measurable impacts such as metric accuracy improvement, exploration of new growth opportunities, and development of well-tested analytics pipelines.Contribute to our codebase by building, testing, and maintaining robust analytics pipelines using SQL and dbt while managing technical debt and enhancing engineering practices.Gradually assume ownership of specific team responsibilities, becoming a key contact for various stakeholders.Our team operates in an agile environment, delivering impactful results within three-week iterations. We utilize a modern cloud-based data stack (Fivetran, Big Query, dbt, Amplitude, Metabase, Looker Studio) and are eager to welcome a well-rounded Senior Data Scientist who can seamlessly integrate into our agile framework and deliver value promptly.

About TeadsTeads is a premier omnichannel advertising platform dedicated to delivering exceptional outcomes for brand and performance advertisers across various screens. Our commitment to achieving meaningful business outcomes for branding and performance objectives is realized through the application of predictive AI technology, which connects high-quality media, stunning brand creative, and contextually-driven addressability and measurement. We proudly partner with over 10,000 publishers and 20,000 advertisers worldwide. Headquartered in New York City, Teads boasts a diverse global workforce of approximately 1,700 employees across more than 30 countries.To learn more, visit www.teads.com.Our Engineering Challenges at TeadsDevelop efficient and user-friendly web products utilized by countless users representing the world’s leading publishers, advertisers, and agencies.Diverse tech stack and system architecture to enhance performance, scalability, resilience, and cost-effectiveness. Our primary technologies include Scala and TypeScript, among others.High-traffic environment (2.2 billion users per month, 100 billion events daily) with stringent low latency and high availability requirements (2 million requests/second, responses in under 150 milliseconds).Management of extensive datasets with millisecond-level access times to execute a near real-time complex auction resolution algorithm (18 million predictions per second).Dynamic environment where we continuously collaborate with product teams and adapt our Cloud infrastructure to support new features and enhancements.

About BlaBlaCarBlaBlaCar stands as the world's foremost community-driven travel application, connecting 27 million members annually for carpooling and bus journeys across 21 countries. Our diverse team of 800 employees hails from over 50 nationalities, operating from five global offices, with 30% working remotely.Your RoleWe are on the lookout for a motivated and dynamic Junior Data Scientist to join our Community Relations Team (CR Team). In this role, you will be instrumental in developing intelligent systems that empower our agents to provide exemplary support to our vast community of BlaBlaCar users. Your responsibilities will include:Innovate within the CR ecosystem: Craft and implement advanced machine learning models that enhance our processes, ensuring our members feel heard and receive timely support tailored to their needs.Boost trust and operational efficiency on the platform: Design smart automation solutions for real-time fraud detection, AI-driven content moderation, and utilize generative AI for seamless translations and customer support enhancement.Facilitate data-driven decision-making: Develop impactful data products and applications that yield actionable insights, directly contributing to BlaBlaCar's success.Lead the charge with generative AI: Investigate and apply innovative generative AI applications to improve internal efficiency, automate essential tasks, and democratize data access throughout the organization.Your ResponsibilitiesBuild and deploy ML models: Design, construct, and launch machine learning models into production, collaborating with fellow Data Scientists and ML Engineers to enhance our marketplace functionalities (e.g., matching, ETA).Automate internal functions: Develop smart solutions for real-time fraud detection, employ deep learning for profile image moderation, and leverage large language models for text moderation and generative AI tasks like translation.Contribute to generative AI advancements: Proactively identify, prototype, and implement generative AI solutions to boost employee productivity and automate critical operational workflows.Embrace growth: Be open to mentorship and learning, bringing enthusiasm and fresh perspectives to our team.Collaborate within a comprehensive data team: Engage with our autonomous data team to drive impactful outcomes.

Join Nexton as a Data Scientist specializing in Dataiku and drive innovative data solutions for our clients in the banking and insurance sectors. In this role, you will leverage your analytical skills to extract insights and develop predictive models that enhance decision-making processes.

Join Labelium as a Data Analyst/Scientist Consultant intern, where you will dive into data analysis and contribute to innovative projects. You will collaborate with our talented team, gaining hands-on experience in data-driven decision-making and analytics strategies. This internship offers a unique opportunity to enhance your skills and make a significant impact in a dynamic work environment.

Our Mission:At Avisia, we engage with our clients on 100% data-driven projects that merge technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects addressing purely technical challenges or more business-oriented issues.Our clients span a variety of industries including Luxury, Retail, Telecom, Banking, and Insurance. The data science projects you may be involved in will also cover diverse topics.Current project examples include:Developing revenue forecasting models for an e-commerce retailer. #ForecastingCreating and industrializing a recommendation engine to enhance website visitor conversion rates. #RecommendationEstablishing an attrition score to identify slowly declining customers for a large retail chain. #ChurnImplementing customer segmentation to optimize marketing and sales actions based on channel contact preferences. #CustomerSegmentation

Role Overview Rexel is looking for an Experienced Data Scientist (CDI) to join the team in Paris. This role focuses on turning complex data into practical business strategies that shape company decisions. The position supports efforts to optimize operations and improve customer experiences across the organization. What You Will Do Analyze large and varied data sets to uncover actionable insights Develop predictive models to support business objectives Work closely with colleagues from different departments to implement data-driven solutions for real business challenges Mentor junior team members and share expertise to strengthen the data science practice Location This position is based in Paris.

Our Mission:At Avisia, we engage with our clients on data-driven projects that seamlessly blend technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects that address purely technical challenges or more business-oriented issues.Our clientele spans a wide array of industries including Luxury, Retail, Telecommunications, Banking, and Insurance. The data science missions you might be involved in are equally diverse.Here are a few current project examples: Designing revenue forecasting models for an e-commerce retailer. #ForecastingCreating and industrializing a recommendation engine aimed at optimizing visitor conversion rates on a website. #RecommendationDeveloping an attrition score to identify slowly declining customers for a major retailer. #ChurnImplementing customer segmentation to enhance marketing and sales strategies based on channel preferences. #CustomerSegmentation

About VoodooEstablished in 2013, Voodoo is a pioneering tech company dedicated to developing engaging mobile games and applications that entertain millions globally. With a workforce of 800 talented individuals, we have achieved 7 billion downloads and boast over 200 million active users, making Voodoo the third-largest mobile publisher worldwide, trailing only Google and Meta. Our impressive portfolio features hit games such as Mob Control and Block Jam, along with popular applications like BeReal and Wizz.TeamThe Engineering & Data team is at the heart of crafting innovative technology products and platforms that fuel our incredible growth in gaming and consumer applications, ensuring Voodoo remains at the cutting edge of the mobile gaming landscape.Joining the Data team, you'll become part of the BI/Prediction squad, an autonomous group of approximately 10 experts, including top-tier product managers, software and data engineers, data scientists, and analysts.RoleOur mission is to supercharge the company's growth by providing on-demand predictive analytics for all Voodoo business units. This involves addressing vital needs such as forecasting campaign lifetime value (LTV) for user acquisition optimization, identifying the most effective monetization strategies for millions of players, and constructing confidence intervals for time series data predictions.We are seeking a passionate Senior Data Scientist with extensive experience in similar environments who can elevate our predictive capabilities. This role presents a unique opportunity to make a strategic impact on Voodoo’s overall success.This position is hybrid, requiring 3 days a week in our Paris office.Take ownership of our product modeling pipelines.Drive high modeling performance through innovative ideas and initiatives.Rapidly build and deploy scalable machine learning systems.Collaborate effectively across teams to harness new ideas and insights, demonstrating excellent communication with product managers, peers, and stakeholders.Conduct in-depth data analysis to uncover meaningful insights.Develop a comprehensive understanding of the mobile gaming sector, company strategy, and product alignment within daily operations.Mentor and lead a team of data scientists, fostering a culture of technical excellence and autonomy.Establish and uphold best practices in machine learning engineering, experimentation, and reproducibility across projects.Champion the integration of advanced analytical techniques to drive business insights.

At Shift Technology, we are at the forefront of transforming the insurance landscape with our leading AI platform, which harmoniously integrates generative, agentic, and predictive AI. Our solutions enhance underwriting, claims handling, and fraud detection, significantly improving operational efficiency and delivering exceptional customer experiences. Our technology is trusted by some of the world's top insurers, empowering them to harness AI effectively and at scale.Our company culture thrives on innovation, trust, and a passion for reshaping the insurance industry through our advanced SaaS platform. With a diverse team from over 50 countries, we are collaboratively crafting the future of insurance. The Data Science Team:The Data Science team tackles a wide range of innovative projects. We play a crucial role in defining and developing our product offerings in areas like fraud detection, anti-money laundering, and claims automation. Our team boasts a robust mix of technical expertise in data science, data engineering, coding, and business acumen, alongside strong client engagement abilities. We work with various data types, including structured data, free text, documents, and images.Your Key Responsibilities Include‍:Establishing and deploying data processing pipelines, including data reception (batch or real-time), data cleansing, information extraction, and calibration of fraud detection models.Collaborating with clients to capture their requirements and integrating their feedback to enhance our solutions.Conducting research and development to foster product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).Assisting the sales team by participating in client demonstrations.Collaborating on the entire Data Science product lifecycle, understanding the connections between sales, legal, product, and engineering to deliver AI solutions to clients.

Eurofins Scientific is seeking an AI Engineer & Data Scientist intern to join the team in Paris. This internship offers the chance to contribute to projects that use artificial intelligence and data science to address challenges across multiple sectors. What you will do Work alongside experienced professionals on real-world assignments Participate in data collection and preparation Support the development of machine learning models Help implement analytical solutions for ongoing projects Learning opportunities Gain hands-on experience in data analysis and AI applications Collaborate with a multidisciplinary team Develop practical skills in model development and deployment This role is based in Paris and focuses on practical work in artificial intelligence and data science within a collaborative environment.

Paris | Full-time | Fluent & As e-commerce continues to flourish, independent brands face challenges in matching the logistics efficiency of giants like Amazon. At Bigblue, we are dedicated to transforming this landscape.We empower brands by democratizing top-tier operations, enabling them to scale faster while providing a five-star customer experience.Since our inception in 2018, we have developed a tech-driven logistics platform that supports over 500 brands, ranging from dynamic DTC players to globally recognized names like MUJI, Aigle, and Cabaïa. With a growing team of 110+ employees across Paris, Madrid, and London, our proprietary Warehouse Management System (WMS) Atlas and our network of 7 warehouses throughout Europe allow us to tackle logistics challenges that others shy away from — making fulfillment faster, smarter, and more sustainable.Supported by over $20M in funding and trusted by the next generation of e-commerce leaders, we are rapidly expanding — aiming for 10 million orders in 2024 as we set our sights on ambitious enterprise growth. We seek a dedicated partner to help us navigate this bold journey ahead.The Role of Data at BigblueAt Bigblue, we are fundamentally data-driven. Data informs our decision-making processes at every level. Our unique position at the heart of our merchants’ operations, combined with our close connection to our fulfillment network, gives us access to vast amounts of fresh, real-time data. This data not only reveals how our merchants are performing but also highlights how we can support their growth. As our network expands geographically, we encounter new data challenges, prompting us to further increase our data team in 2025.Key ResponsibilitiesAddress Customer Data ChallengesAs an integral member of the data practice within the Bigblue product team, you will tackle crucial challenges for our business and our merchants. Your role will involve engaging in product development cycles, focusing on data-related issues while collaborating with designers, engineers, and stakeholders both within and outside of Bigblue. You will oversee the entire problem-solution-experimentation lifecycle, from building proof of concepts to rapidly launching features and experiments to achieve strategic objectives. Your solutions may include data analysis, algorithm development, and machine learning models.Potential projects may include:• Developing a reliable, real-time delivery ETA for buyers,• Enhancing our internal logistics algorithms to optimize specific operational facets...

Join Ekimetrics as a Junior Business Data Scientist specializing in Marketing and Commercial Effectiveness. In this exciting role, you will leverage data analytics to enhance marketing strategies and improve commercial outcomes for our clients. Collaborating with a multidisciplinary team, you will analyze large datasets, develop predictive models, and provide actionable insights that drive business growth.