• Oversee the design, development, and maintenance of data infrastructure and architecture for Oil, Gas, and Remediation projects. • Drive data generation, storage, processing, and warehousing initiatives. • Ensure the implementation of effective data management solutions and best practices. • Develop, construct, test, and maintain databases and large-scale data processing systems. • Ensure data is accessible, reliable, secure, and efficiently processed. • Combine, optimize, and manage multiple large-scale data sources. • Create automated reporting systems and data solutions. • Provide software solutions that move data from its source to internal databases, including data warehouses. • Implement and maintain data frameworks and architectures. • Develop and maintain data pipelines to support data analysis, reporting, and business intelligence. • Analyze complex issues and recommend solutions that improve data warehousing processes and methodologies. • Use judgment outside defined parameters and precedents to make decisions and resolve business and technical challenges. • Be accountable for the results of assigned projects and processes. • Demonstrate strong proficiency in data programming languages. • Demonstrate strong knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions. • Demonstrate strong knowledge of API (Application Programming Interface) integration to support data access, collection, distribution, transformation, and ELT (Extract, Load, Transform) processes. • Apply algorithmic and statistical methods, data processing tools, and AI-enabled approaches to support efficient data consumption and analysis.

• Oversee the design, development, and maintenance of data infrastructure and architecture for Oil, Gas, and Remediation projects • Drive data generation, storage, processing, and warehousing initiatives while ensuring the implementation of effective data management solutions and best practices • Develop, construct, test, and maintain databases and large-scale data processing systems • Ensure data is accessible, reliable, secure, and efficiently processed • Combine, optimize, and manage multiple large-scale data sources • Create automated reporting systems and data solutions • Provide software solutions that move data from its source to internal databases, including data warehouses • Implement and maintain data frameworks and architectures • Develop and maintain data pipelines to support data analysis, reporting, and business intelligence • Analyze complex issues and recommend solutions that improve data warehousing processes and methodologies

• Oversee the design, development, and maintenance of data infrastructure and architecture for Oil, Gas, and Remediation projects • Drive data generation, storage, processing, and warehousing initiatives while ensuring the implementation of effective data management solutions and best practices • Develop, construct, test, and maintain databases and large-scale data processing systems • Ensure data is accessible, reliable, secure, and efficiently processed • Combine, optimize, and manage multiple large-scale data sources • Create automated reporting systems and data solutions • Provide software solutions that move data from its source to internal databases, including data warehouses • Implement and maintain data frameworks and architectures • Develop and maintain data pipelines to support data analysis, reporting, and business intelligence • Analyze complex issues and recommend solutions that improve data warehousing processes and methodologies • Use judgment outside defined parameters and precedents to make decisions and resolve business and technical challenges • Accountable for the results of assigned projects and processes • Demonstrate strong proficiency in data programming languages and knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions • Knowledge of API (Application Programming Interface) integration to support data access, collection, distribution, transformation, and ELT (Extract, Load, Transform) processes • Apply algorithmic and statistical methods, data processing tools, and AI-enabled approaches to support efficient data consumption and analysis.

Company Description NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. NBCUniversal est l'un des leaders mondiaux du secteur des médias et du divertissement. Nous créons des contenus d'exception, que nous diffusons à travers notre portefeuille de films, de programmes télévisés et de services de streaming, et que nous donnons vie grâce à nos parcs à thème internationaux, nos produits grand public et nos expériences. Nous détenons et exploitons des marques de premier plan dans les domaines du divertissement et de l'information, notamment NBC, NBC News, NBC Sports, Telemundo, les chaînes locales NBC, Bravo et Peacock, notre service de streaming premium financé par la publicité. Nous produisons et distribuons des films et des programmes de divertissement de premier ordre grâce à nos puissants studios de cinéma et de télévision, notamment Universal Pictures, DreamWorks Animation et Focus Features, ainsi qu'aux quatre studios de télévision mondiaux regroupés sous la bannière Universal Studio Group. Nous exploitons également des parcs à thème et des expériences de premier plan à travers le monde via Universal Destinations & Experiences, notamment l'Universal Orlando Resort, qui abrite l'Universal Epic Universe, et Universal Studios Hollywood. NBCUniversal est une filiale de Comcast Corporation. Rendez-vous sur www.nbcuniversal.com pour plus d'informations. Notre impact repose sur l'amélioration des communautés dans lesquelles vivent et travaillent nos employés, nos clients et nos publics. Nous avons une riche tradition d'engagement social et veillons à ce que nos employés aient la possibilité de s'investir au sein de leurs communautés. Nous défendons une culture inclusive et nous nous efforçons d'attirer et de former une main-d'œuvre talentueuse afin de créer et de proposer un large éventail de contenus reflétant notre monde. Job Description We are seeking a Data Scientist with experience manipulating large tabular and user-behavior datasets. This role is centered on bridging the gap between raw data and high-quality machine learning inputs, requiring a blend of technical expertise and cross-functional leadership. Nous recherchons un(e) scientifique des données ayant de l'expérience dans l'exploitation de grands ensembles de données tabulaires et comportementales d'utilisateurs. Ce rôle vise à combler l'écart entre les données brutes et les entrées de haute qualité pour les modèles d'apprentissage automatique, en combinant expertise technique et leadership transversal. Vous jouerez un rôle clé en veillant à ce que les données soient correctement structurées, validées et alignées avec les objectifs produit et d'apprentissage automatique, afin de permettre le développement de modèles robustes et évolutifs. Responsibilities: - Cross-Functional Coordination: Work with partner ML and Product engineers and TPMs to spec out data and training requirements. - Data Strategy & Pipeline Oversight: Ensure that datasets are correctly curated, filtered, and processed to meet the rigorous standards of production-level machine learning. - Requirements Translation: Act as a technical translator, taking high-level project goals and turning them into actionable data specs for engineering and annotation teams. - Quality Assurance & Analysis: Maintain high standards for data integrity, ensuring that the behavioral datasets used for training are representative and accurate. Responsabilités principales - Collaboration interfonctionnelle : Travailler avec les ingénieurs ML, les équipes Produit et les TPM pour définir les besoins en données et en entraînement. - Stratégie des données et supervision des pipelines : S'assurer que les ensembles de données sont correctement sélectionnés, filtrés et traités afin de répondre aux exigences des systèmes d'IA en production. - Traduction des besoins : Transformer des objectifs produit de haut niveau en spécifications de données concrètes et exploitables. - Assurance qualité et analyse : Maintenir des normes élevées de qualité des données en garantissant leur exactitude, leur représentativité et leur fiabilité. Qualifications - Master's or Bachelor's Degree or certification in Data Science or related computational sciences field. - 3+ years of relevant industry experience in a fast paced, high growth tech environment. Professional Experience: Proven experience as a Data Scientist in a fast-paced environment. - Domain Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, streaming services, game development, search engines, and eCommerce. Technical Proficiency - Core Tools: Fluency with Python, Git, and the Unix shell. - Ecosystem: Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, and an experiment tracking framework. - Data Visualization: Familiarity with data visualization and inspection tools specifically designed for user behavior. - Fundamentals: Deep understanding of data science fundamentals and a strong mathematical background. Attributes - Conscientiousness: High attention to detail and commitment to data accuracy. - Communication: Ability to collaborate effectively across different engineering disciplines to define and execute technical requirements. Qualifications - Baccalauréat ou Maîtrise, ou certification en science des données ou dans un domaine connexe des sciences computationnelles. - Minimum de 3 ans d'expérience pertinente dans un environnement technologique dynamique et en forte croissance. - Expérience démontrée en tant que scientifique des données dans un environnement dynamique et en forte croissance. - Une expérience dans des secteurs multidisciplinaires complexes tels que la robotique, les plateformes de streaming, les jeux vidéo, les moteurs de recherche ou le commerce électronique est fortement valorisée. Compétences techniques - Outils principaux : Maîtrise de Python, Git et des environnements Unix. - Écosystème : Familiarité avec des outils tels que Jira, Confluence, Slack, les workflows Git et les plateformes de suivi d'expériences. - Visualisation des données : Expérience avec des outils dédiés à la visualisation et à l'analyse des comportements utilisateurs. - Fondamentaux : Solides connaissances en statistiques, en science des données et en mathématiques. Qualités recherchées - Rigueur : Grande attention aux détails et engagement envers la qualité et la précision des données. - Communication : Capacité à collaborer efficacement avec différentes équipes techniques et produit pour définir et exécuter les exigences techniques. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.