VP, Data Science
Hybrid
Paris, France
Full Time
22-04-2025
Job Specifications
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms and we’re looking for VP of Data Science to join our R&D team and lead the Data Science function.
As a VP, Data Science, you will be responsible for setting the strategy and vision for the team that is a center of innovation and a major contributor to the company's core Products. Our goal is to become all-knowing in media and we’re looking for a hands-on leader to guide data science teams to deliver world-class products. This role will be key in leading and uniting a global team, fostering a cohesive culture, and ensuring alignment across regions.
What you’ll get to do:
Lead the Data Science Vision & Roadmap – Define and execute a strategic roadmap for AI and machine learning, ensuring alignment with IAS’s broader business and product goals
Drive Innovation – Research and develop next-generation AI and data science solutions that enhance advertising verification across brand safety, fraud detection, and media quality.
Scale and Optimize Data Science Operations – Implement best practices for model development, deployment, and monitoring within cloud-based production environments.
Lead & Develop a Global Team – Manage and mentor a high-performing data science team along with its day-to-day operation in supporting and maintaining existing products, allocating resources, and collaborating on roadmap.
Define project scope – Scope work and projects based on classification techniques and network analysis, working in coordination with the product management team.
Collaborate Cross-Functionally – Partner with product management, data engineering, and broader engineering teams to integrate machine learning models seamlessly into IAS’s technology stack.
Communicate Impact & Strategy - Communicate data science concepts and issues to a variety of stakeholders – technical and non-technical – across the organization, including sales, marketing, customer support, the senior leadership team, and occasionally participating in client meetings
Research and innovate - Continuously explore and integrate the emerging AI landscape and machine learning trends to keep IAS at the forefront of industry innovation
You should apply if you have most of this experience:
Advanced degree in a relevant technical field (machine learning, computer science, statistics, physics, mathematics, or related field)
17+ years of industry experience in data science and analytics, applying machine learning techniques to real-world problems
12+ years experience in team management (including team managers) and talent development
Significant experience in text and multimedia classification at large scale in production environments, including training data acquisition and management, evaluation methodology and practical scenarios like dataset shift, underspecification, extreme class imbalance
Experience in unsupervised learning/network analysis
Familiarity with modern deep-learning approaches
Experience with different crowdsourcing platforms, including methodologies for quality Control.
MLOps or comparable experience/related experience
Working familiarity/past experience with data science tools and technologies: Python, SQL, machine learning libraries/frameworks, cloud solutions
Experience with Agile/Scrum methodologies and in matrix organizations.
Ability to communicate complex quantitative analysis in a clear, precise, and actionable Manner to both technical and non-technical audience
About Integral Ad Science
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.
Equal Opportunity Employer:
IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.
California Applicant Pre-Collection Notice:
We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.
To learn more about us, please visit http://integralads.com/
Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.
About the Company
Integral Ad Science is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media qualit... Know more
Related Jobs
- Company Name
- Dataiku
- Job Title
- Analytics Engineer - Paris
- Job Description
- At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. Dataiku is looking for an Analytics Engineer to join our Enterprise Data and Analytics team in Paris. As a member of the EDA Team, you will play a central role in delivering data products as well as data-driven insights to various stakeholders and teams at the company. You will also support the full organisation to get the most of their data. Non-technical skills and business acumen are important, but you will of course be expected to operate at a high technical level. Our Analytics Engineers work on the Dataiku platform every day and, aside from the visual tools, use mostly SQL and Python with occasional work in other languages, with a good working knowledge of Snowflake and the software development lifecycle. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work and thrives when collaborating towards a shared goal. How You'll Make An Impact The role of an Analytics Engineer at Dataiku is quite unique as it's not only focused on data products delivery but also on fostering the self-service analytics within the whole company - every Dataiker is encouraged to use our own product, so we have an internal community of analysts much larger than most companies our size. Your responsibilities within the team and with the community of analysts include but are not limited to: Build, maintain and evolve our data catalog with data products that allow for answering complex business questions, flexible querying, data visualisation and that support self-service analytics in the best way possible. Partner with cross-functional stakeholders and embedded analysts to ensure that business logic is properly represented in datasets and well documented to ensure it can be used by the wider population of analysts to drive business insights and strategy. Collaborate transversally with business leaders or operations to conduct gap analysis, understand business needs and build out advanced analytical solutions to answer those needs. Participate in the end of month closing and update of reference datasets as well as presentation materials (decks, reports) supporting the company’s most important metrics including ARR, NDR, ARPU, Headcount, Product Adoption… Maintain a standard on data quality (monitoring, adherence to the principles of data governance, punctual data clean-up efforts) to ensure continuous delivery of accurate metrics. Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing. Respond to ad-hoc data related inquiries to support management and the executives of the company Proactively identify and explore new opportunities through creative analytical and engineering methods. Use dedicated innovation time to explore and work on innovative use cases or analysis that might be transformational for the team or the business. Promote self-service analytics within Dataiku by providing technical support, expertise and empowerment to the larger community of analysts. What You'll Need To Be Successful 3+ years of relevant experience in Analytics / Analytics Engineering / Data Science Strong knowledge of SQL and experience with Python is a must. Experience in Dataiku is a big plus Ability to build reports and dashboards with BI tools (such as Tableau, Looker or PowerBI) is a plus Excellent analytical and creative problem-solving skills as well as strong critical thinking. Passion for thinking through challenges from the user perspective. Your daily work is driven by your commitment to end users. Excellent written and verbal communication skills with the ability to tell stories with data and clearly articulate/present complex situations and concepts Ability to write clear and concise communications and documentations with a high degree of precision Ability to manage multiple projects and time constraints simultaneously Ability to roll up your sleeves to accomplish what needs to be done. You get things done and inspire your colleagues to do the same. What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
- Company Name
- IKA
- Job Title
- Data base engineer SQL et PLSQL (H/F)
- Job Description
- Le poste Descriptif du poste Vous êtes passionné·e par la DATA et les bases de données ? Vous recherchez un poste où vous pourrez mettre vos compétences en action, relever des défis techniques et évoluer au sein d’une entreprise en pleine croissance ? Rejoignez-nous en tant que Database Engineer SQL ! Au sein de notre équipe data dynamique, vous serez acteur·rice du développement, de l’optimisation et de la maintenance de nos bases de données. Vous travaillerez sur des projets innovants, en collaboration avec des experts, et contribuerez à l’évolution de notre infrastructure data. Ce que nous vous offrons : Un environnement stimulant avec des défis techniques passionnants Une équipe bienveillante et experte pour évoluer et apprendre en continu L’opportunité d’avoir un véritable impact sur nos projets et nos performances Voici les missions du poste :Notre stack technique/nos outils : Conception et modélisation des schémas de données Concevoir et modéliser des schémas de bases de données adaptés aux besoins des applications. Assurer la cohérence et l’intégrité des données en réalisant des analyses approfondies. Contribuer aux évolutions et optimisations des bases de données en collaboration avec les équipes techniques. Gestion de projets et migrations Réaliser des migrations de données et mettre en place des interfaces entre systèmes. Développer et exécuter des scripts d’analyse et de transformation des données. Rédiger des spécifications fonctionnelles et techniques sur les aspects liés à la gestion de la donnée. Déploiement et exploitation Participer aux phases de livraison applicative des projets. Business Intelligence et analyses statistiques Recueillir et formaliser les besoins en reporting et analyses statistiques. Mettre en œuvre et exécuter des scripts d’extraction et de transformation des données à des fins d’analyse. Langage et librairies : SQL (Oracle, PostgreSQL, …), GitLab Profil recherché Vous êtes issu d’une école d’ingénieurs ou d’un master en informatique, vous disposez d’une première expérience significative post diplôme dans le domaine de la data, vous appréciez particulièrement le langage SQL et vous souhaitez nous rejoindre : MUST HAVE : Maîtriser le langage SQL Avoir une bonne connaissance des sujets SGBD Etre capable de s’immerger dans les sujets techniques (base de données, paramétrage, etc.) Maîtriser Excel (capacité à concevoir des fichiers et utiliser des formules avancées) NICE TO HAVE : Avoir des notions d’administration de base de données Etre capable de rédiger rapidement, dans un langage clair et précis AVANTAGES DU POSTE : En plus des salaires fixes et variables, ils proposent : De l’épargne salariale (PEE) Des tickets restaurants à 10€, pris en charge à 50% Une mutuelle prise en charge à 100% Mais aussi : Du télétravail 2 jours par semaine Un delicorner Déroulement des entretiens Étape 1 : Échange téléphonique (10 min) Un premier contact avec notre équipe recrutement pour discuter brièvement du poste. Étape 2 : Entretien technique (1h) Une discussion approfondie avec un membre de l’équipe technique ou le Responsable Data pour revenir sur votre parcours et discuter des projets techniques de l’entreprise. Étape 3 : Entretien final (1h) Une rencontre avec la direction ou un membre des RH pour évaluer votre compatibilité avec notre culture d’entreprise et discuter des détails contractuels.
- Company Name
- Givaudan
- Job Title
- Data Platform Manager
- Job Description
- Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with kindness and humility, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions that make people look and feel good. There’s much to learn and many to learn from, with more than 16,000 employees around the world to explore ideas and ambitions with. Dive into varied, flexible, and stimulating environments. Meet empowered professionals to partner with, befriend, and stretch your skills alongside. Every day, your energy, your creativity, and your determination will shape our future, making a positive difference on billions of people. Every essence of you enriches our world. We are Givaudan. Human by nature. Data Platform Manager - Your future role? As the Data Platform Manager in Argenteuil, you will oversee the strategy, development, and management of Data Platform, Data Engineering, Data Observability, Data Platform Architecture disciplines according to IT data & analytics strategy. You will ensure the Data Platform meets user needs and our goals following the platform as a product approach. You will report to the Head of Data and Analytics. Your main responsibilities: Assist the Head of Data & Analytics and contribute to creation of the data and analytics vision strategy, representing data platform and engineering product line Define and maintain the data platform and engineering product line’s vision and roadmap Support and review value case definition of demands on data engineering and platform Portfolio management for data platform and engineering product line, including business partnership and engagement with other Data & IT teams Resource management within data platform and engineering product line and management of pool of data engineers End-to-end product / project delivery of the products related to data platform and engineering product line Strategy: Define the vision and future evolutions for data platform and engineering aligned with IT data and analytics strategy, by leading the global coherence of scoping and structure with all data and analytics product teams and architecture teams Collaborate with product line managers, enterprise and solution architects, data and analytics product manager and partners for translation of Business strategy into an IT strategy Ensure agreement of strategic programs and roadmap prioritization with Head of Digital Solutions (departments), Product Line Managers and partners Provide inputs to Head of Digital Solutions (departments), Product Line Managers and Architects on Market / Technology trends and best practices to give as input to strategy process Manage data platform as a product and ensure value based decisions are taken through product life cycle Leadership: Lead the data platform team, including platform engineers and data platform architect to implement of vision and roadmap Ensure, on an ongoing basis, that current and planned architecture, investments and solutions are aligned with data & analytics strategy Provide budget forecast to match the validated strategic roadmap goals for the data platform and engineering Ensure transparency and collaboration cross data & analytics products, digital solutions products and partners Lead the development of pool of data engineers Promote the modern data platform and engineering capabilities to Business and IT Portfolio Management: Manage internally the data platform and engineering portfolio (assignment, selection and classification, contribution to value case, and other portfolio activities) and ensure business and IT partners are involved in portfolio prioritization Communicate towards all IT partner’s necessary information about data platform and engineering capabilities and prioritizations Support other data product managers in building, management and communication of their portfolios and deliverables Solution Delivery Management: Maintain oversight of all business and IT demand for the data platform and engineering, ensuring that resource commitments are planned, staffed, monitored and reported; ensure nomination and availability of business resources in products / projects (main users) Collaborate with the data & analytics teams to analyze new demands, provide inputs on new solutions and estimates, highlight dependencies and constraints across platform capabilities Mitigate any risk linked to delivery of data products and resources dependent on the data platform and engineering Ensure resources follow best practices, methodologies, frameworks and policies, such as best practices for data engineering, DataOps Manage direct reports and their respective activities, ensure HR global processes are followed. You have: Master’s degree in computer engineering or business school or equivalent 10+ years working in Information technology arena 5+ years working in data and analytics roles 5+ years of experience managing team dynamics, building team relationships, mentoring team members and delivering feedback Experience with Data Platform management, Data Engineering, Data Observability and Data architecture Experience in product management and Agile practices Business Analysis Skills in Data Management and Platform engineering and comprehension of other digital solutions as users of the services of data platform Exhibited skills in leading efforts involving the coordination of resources and goals across multiple related projects and products Exposure and understanding of existing and latest technologies, and processing environments Experience with innovation approaches and methodologies (Agile, Product Management, Design Thinking, Design Sprints and UX design) Curious and interested about Data, Digital and Information Technologies Fluent in English Our benefits: Profit-sharing + saving plan Health coverage partially paid by us 40 days of holiday per year Partial coverage of meals and transport costs Career development opportunities At Givaudan, you contribute to delightful taste and scent experiences that touch people’s lives. You work within an inspiring teamwork culture – where you can thrive, collaborate and learn from other talented and passionate people across disciplines, regions and divisions. Every essence of you enriches our world. Diversity drives innovation and creates closer connections with our employees, customers and partners. Givaudan embraces diversity and is committed to building an inclusive environment where everyone impacts our world.
- Company Name
- Econocom
- Job Title
- Data Analyst / Développeur BI H/F
- Job Description
- Nous vous invitons à relever de nouveaux challenges et à évoluer sur des projets d’expertise et d’innovation en prenant part à l’aventure Econocom. À travers sa marque Workplace Infra Innovation, l’activité Services en région Méditerranée accompagne plus de 40 clients grands comptes et institutions publiques dans tout secteur d’activité dans la transformation de leur système d’information, à travers la mise à disposition de moyens humains et techniques. Ce qui vous attend : Au sein de l’équipe Plateforme Collaborateurs, nous recherchons un Data Analyst / Développeur Business Intelligence pour répondre aux besoins de reporting et de data analyse. Vous participerez activement à la valorisation des données métiers et à l’accompagnement des équipes dans leurs projets data. Vos responsabilités : Analyser et interpréter des données pour accompagner les équipes métiers dans leurs projets Identifier, extraire et manipuler les données pertinentes (via SQL) Recueillir les besoins fonctionnels auprès des métiers et des banques, et en évaluer la faisabilité Rédiger les spécifications fonctionnelles détaillées Participer à la maintenance des systèmes et à la gestion des incidents en mode produit Fournir un support d’expertise pour des demandes ponctuelles Créer et mettre à jour des tableaux de bord dynamiques avec PowerBI Contribuer à l’amélioration continue de l’environnement data L’environnement technique : SQL, PowerBI, environnement collaboratif (SharePoint, Teams), MECM. Ce que nous vous proposons : Valeurs : en plus de nos 3 fondamentaux que sont l’audace, la bonne foi et la réactivité, nous garantissons un management à l’écoute et de proximité, ainsi qu’une ambiance familiale Contrat : en CDI ou freelance, avec un démarrage selon vos disponibilités (nous acceptons les préavis) Localisation : prestation de client grand compte sur Aix-en-Provence (13290), 2 jours de télétravail par semaine Package rémunération & avantages : Le salaire : rémunération annuelle brute selon profil et compétences Les basiques : mutuelle familiale et prévoyance, titres restaurant, remboursement transport en commun à 50%, avantages du CSE (culture, voyage, chèque vacances, et cadeaux), RTT (jusqu’à 12 par an), plan d’épargne, prime de participation Nos plus : forfait mobilité douce & Green (vélo/trottinette et covoiturage), prime de cooptation de 1000 € brut, e-shop de matériel informatique à des prix préférentiels (smartphone, tablette, etc.) Votre carrière : plan de carrière, dispositifs de formation techniques & fonctionnels, passage de certifications, accès illimité à Microsoft Learn La qualité de vie au travail : télétravail avec indemnité, évènements festifs et collaboratifs, accompagnement handicap et santé au travail, engagements RSE Profil : Qualification : Diplôme supérieur en informatique, statistiques, data management ou équivalent (Bac+2 minimum). Expérience : Vous justifiez d'une expérience confirmée dans l’analyse de données, le reporting et la gestion de projets data. Technical skills :Analyse et recherche des données, Connaissance des langages de manipulation et analyse des données, Connaissance des outils de datavisualisation, Modélisation de données et conception d'entrepôts de données, Technique d'analyse statistiques, de datamining et de gestion de la donnée. Soft skills : Vous vous caractérisez par votre esprit d’équipe, votre rigueur et votre autonomie. Vous faites preuve d’un bon sens de l’analyse et savez être force de proposition. Votre communication claire, votre dynamisme et votre enthousiasme vous permettent de vous adapter rapidement et de gérer efficacement les priorités. Première Entreprise Générale du Digital en Europe (EGD), le groupe Econocom conçoit, finance et facilite la transformation digitale des entreprises et des organisations publiques. Rejoindre Econocom, c'est rejoindre un groupe international de 8 750 collaborateurs, avec un CA de 2,7 milliards d’euros, qui couvre l’ensemble de la chaîne des métiers du numérique : des équipements, aux services et jusqu’au financement. C'est autant de possibilités d'évolution ! C’est aussi être un acteur engagé de la révolution digitale : vous avez envie de montrer votre savoir-faire, d'évoluer en intégrant les équipes d’un grand groupe qui garde son esprit entrepreneurial ? Alors n'hésitez plus, devenez maintenant l’entrepreneur de votre carrière ! Ce qui va suivre : Postulez sur notre site Carrière Econocom ou via l’un de nos partenaires Si votre profil est en adéquation avec le poste, vous rencontrez la chargée de recrutement en premier rendez-vous Si votre profil la séduit, vous rencontrez ensuite votre futur manager accompagné d’un responsable technique sur un second rendez-vous Nous mettons un point d’honneur à donner suite à toutes les candidatures. Et qui sait, si ce poste-ci n’est pas le vôtre, il en sera peut-être différemment pour le suivant ! Votre chargée de recrutement : Clémentine DENISOT-PARISOT Le groupe Econocom s'engage à promouvoir la diversité. Tous nos postes sont ouverts aux personnes en situation de handicap.