Job Description We are seeking a Data Scientist with experience manipulating largetabular and user-behaviordatasets.

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 donnes ayant de lexprience dans lexploitation de grands ensembles de donnes tabulaires et comportementales dutilisateurs.

Ce rle vise combler lcart entre les donnes brutes et les entres de haute qualit pour les modles dapprentissage automatique, en combinant expertise technique et leadership transversal.

Vous jouerez un rle cl en veillant ce que les donnes soient correctement structures, valides et alignes avec les objectifs produit et dapprentissage automatique, afin de permettre le dveloppement de modles robustes et volutifs.

Responsibilities: Cross-Functional Coordination: Work with partner ML and

Productengineers 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 thebehavioraldatasets used for training are representative and accurate.

Responsabilits principales Collaboration interfonctionnelle: Travailler avec les ingnieurs ML, les quipes Produit et les TPM pour dfinir les besoins en donnes et en entranement.

Stratgie des donnes et supervision des pipelines: Sassurer que les ensembles de donnes sont correctement slectionns, filtrs et traits afin de rpondre aux exigences des systmes dIA en production.

Traduction des besoins:



Transformer des objectifs produit de haut niveau en spcifications de donnes concrtes et exploitables.

Assurance qualit et analyse: Maintenir des normes leves de qualit des donnes en garantissant leur exactitude, leur reprsentativit et leur fiabilit.

Qualifications Master''s or Bachelors Degree or certification in Data Science or related computational sciences field. 3+ years of relevant industry experience in a fast paced, high growth tech workplace.

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 foruser 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 Baccalaurat ou Matrise, ou certification en science des donnes ou dans un domaine connexe des sciences computationnelles.

Minimum de 3 ans dexprience pertinente dans un environnement technologique dynamique et en forte croissance.





Exprience dmontre en tant que scientifique des donnes dans un environnement dynamique et en forte croissance.

Une exprience dans des secteurs multidisciplinaires complexes tels que la robotique, les plateformes de streaming, les jeux vido, les moteurs de recherche ou le commerce lectronique est fortement valorise.

Comptences techniques Outils principaux: Matrise de Python, Git et des environnements Unix. cosystme: Familiarit avec des outils tels que Jira, Confluence, Slack, les workflows Git et les plateformes de suivi dexpriences.

Visualisation des donnes: Exprience avec des outils ddis la visualisation et lanalyse des comportements utilisateurs.

Fondamentaux: Solides connaissances en statistiques, en science des donnes et en mathmatiques.

Qualits recherches Rigueur: Grande attention aux dtails et engagement envers la qualit et la prcision des donnes.

Communication: Capacit collaborer efficacement avec diffrentes quipes techniques et produit pour dfinir et excuter 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 AccessibilityS.

📌 Senior Forward-DeploData Scientist/ Scientifique des données principal(e) déployé(e) (niveau Senior, Forward-Deployed)
🏢 NBCUniversal
📍 Montreal