Senior Data Scientist at DoubleVerify | Paris, France

About DoubleVerify and ScibidsDoubleVerify, in collaboration with Scibids, stands at the forefront of AI-driven digital campaign activation. Our innovative solutions empower brands worldwide to enhance ad performance, optimize outcomes, and streamline operational efficiency. Utilizing advanced technology that operates independently of digital identifiers lik…

Join Shift Technology, a pioneering AI platform dedicated to revolutionizing the insurance industry. We harness generative, agentic, and predictive AI to enhance underwriting processes, optimize claims management, and mitigate fraud and risk, resulting in operational efficiency, superior customer experiences, and tangible business impact. Our solutions are trusted by leading insurers worldwide, delivering AI solutions that matter most at scale with proven effectiveness.Our culture is rooted in innovation, trust, and a commitment to transforming the insurance landscape through our cutting-edge SaaS platform. With team members from over 50 different countries and cultures, we are collectively shaping the future of insurance.Are you a recent graduate eager to embark on your first full-time Data Science career?As a Data Scientist at Shift, you will engage with a diverse array of projects, contributing significantly to the design and advancement of our product suite, particularly in fraud detection, anti-money laundering, and claims automation. Our team, comprised of experts in data science, data engineering, coding, and client engagement, is dedicated to delivering innovative solutions. You will work with various data types, including structured data, unstructured text, documents, and images.This role is an excellent opportunity for those seeking a permanent position; Shift is the perfect launchpad for your career!About the TeamAs part of our expansive Data Science team, which is the largest in the organization with over 200 Data Scientists globally, your contributions will be vital in enhancing and deploying our Fraud Detection solution.Our Data Scientists tackle a full lifecycle of projects, acquiring extensive technical and professional expertise across data science, engineering, coding, business acumen, and client relations.Your Responsibilities...Contribute actively to the insurance roadmap and collaborate with clients on diverse data types including structured data, free text, documents, and images.Implement data engineering processes, from client extract to data insertion in our storage solutions (SQL, ElasticSearch).Develop, test, and optimize models for tasks such as fraud detection and automation in complex environments.Automate critical business tasks by integrating them into our production framework using C#.

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

The Applied AI team at Datadog is dedicated to designing and implementing algorithmically-driven features within our application. Our focus spans various applications, with a primary emphasis on analyzing real-time data streams for tasks such as anomaly detection, error outliers, and faulty deployment analysis. As a Senior Applied Scientist, you will be instrumental in developing models and algorithms that power machine learning features on the Datadog platform. Collaborating closely with our engineering and product teams, you will explore, build, scale, and deliver innovative features that we nurture within the Applied AI team.At Datadog, we value our workplace culture — the connections we build, the creativity we foster, and the collaborative spirit of working together. We embrace a hybrid work model that allows our employees to find a work-life balance that suits them best.

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 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.

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

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 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

Join Back Market as a Senior Data Scientist in our AI Core team, where you will play a crucial role in shaping the future of technology in the refurbished electronics market. In this position, you will leverage your expertise in data science to develop innovative AI solutions that enhance our platform's capabilities and improve user experience.Your responsibilities will include analyzing complex datasets, building predictive models, and collaborating with cross-functional teams to drive data-driven decision-making. You will also have the opportunity to mentor junior data scientists and contribute to the overall growth of our data science capabilities.

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.

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.

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 Roland Berger as a Data Scientist Intern and contribute to innovative projects that shape the future of business strategy. This internship offers a unique opportunity to apply your analytical skills in a dynamic environment, working alongside experienced professionals in the industry.

Nexton seeks an Applied Scientist (H/F) to join the team in Paris. The position centers on applying scientific methods and advanced analytics to solve complex challenges and enhance products. Key responsibilities Collaborate with colleagues from various fields to address business objectives Use data science and machine learning techniques to develop models and algorithms Examine large and intricate data sets to inform important decisions Present insights that influence strategy and improve company processes Location This role is based in Paris.

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.

Join CFGI as a Manager in our Paris office. We are seeking a dynamic leader who is adept at guiding teams and driving strategic initiatives. This role involves overseeing project execution, enhancing operational efficiency, and fostering a collaborative work environment.

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.

Join Minitab, a leading software company recognized for revolutionizing data collection across manufacturing operations. We empower our clients from the factory floor to the quality lab, transforming operational data into actionable insights. This role is not just about selling a tool; it’s about partnering with customers to build a robust data foundation powered by top-tier analytics, ensuring consistent improvement and informed decision-making throughout their operations.As a Senior Account Executive at Minitab, you will collaborate with manufacturers at various stages of their digital transformation journey. Whether they are just starting to harness their data or are ready to implement sophisticated solutions like statistical process control (SPC) and digital twins, you will have the opportunity to tailor our offerings to meet their unique needs. Your role will focus on fostering long-term customer relationships and driving repeat sales success.With a legacy of over 50 years, Minitab is a trusted partner for manufacturers globally. We pride ourselves on making advanced analytics accessible and relevant, addressing real-world manufacturing challenges rather than theoretical concepts.If you are a seasoned enterprise seller with a passion for consultative sales and a desire to assist manufacturers in achieving standardization and operational excellence, Minitab provides the platform, brand recognition, and growth potential to make a lasting impact.

Join Vizzia as a Senior Data Engineer and play a pivotal role in transforming data into actionable insights. Collaborate with cross-functional teams to design and implement robust data pipelines and solutions that enhance our analytics capabilities.