Senior Data Scientist | Data Scientist Sénior

NBCUniversal

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About The Position

We are seeking a Data Scientist with experience manipulating large 2D and 3D media 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 une personne spécialisée en science des données possédant une expérience dans la manipulation de vastes ensembles de données multimédias 2D et 3D. Ce rôle est axé sur le rapprochement entre les données brutes et des entrées de haute qualité pour l’apprentissage automatique, et requiert une combinaison d’expertise technique et de leadership interfonctionnel.

Requirements

• Degree or certification in Data Science or related computational sciences field.
• Proven experience as a Data Scientist in a fast-paced environment.
• Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace.
• Fluency with Python, Git, and the Unix shell.
• Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, and an experiment tracking framework.
• Familiarity with data visualization and inspection tools specifically designed for computer vision and 3D data, such as FiftyOne.
• Deep understanding of data science fundamentals and a strong mathematical background.
• High attention to detail and commitment to data accuracy.
• Ability to collaborate effectively across different engineering disciplines to define and execute technical requirements.
• Must be legally authorized to work in Canada.
• Must be willing to travel for work related business, if necessary

Responsibilities

• Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements.
• Ensure that datasets are correctly curated, filtered, and processed to meet the rigorous standards of production-level machine learning.
• Act as a technical translator, taking high-level project goals and turning them into actionable data specs for engineering and annotation teams.
• Maintain high standards for data integrity, ensuring that the media datasets used for training are representative and accurate.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree