NBCUniversal

media and entertainment

SeniorDataScientist|DataScientistSénior

Montréal, Quebec, Canada FULL TIME
The Brief

“Senior Data Scientist | Data Scientist Sénior at NBCUniversal. Skills: Data Science, Machine Learning, Python, Data manipulation. Manipulate large 2D and 3D media datasets. Bridge gap between raw data and ML inputs”

Industry & Context.

media and entertainment
Problems you'll solve

Data Science fundamentals; Mathematical background

Eligibility Requirements

Willing to travel for work related business

What They're Looking For.

Must Have

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 mathematical background, Must be legally authorized to work in Canada

Nice to Have

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 willing to travel for work related business, if necessary

What You'll Do.

Manipulate large 2D and 3D media datasets

Bridge gap between raw data and ML inputs

Coordinate with partner ML engineers

Coordinate with Annotation engineers

Spec out data requirements

Spec out training requirements

Ensure datasets are curated

Ensure datasets are filtered

Ensure datasets are processed

Meet production ML standards

Translate project goals to data specs

Maintain data integrity standards

Ensure training data is representative

Ensure training data is accurate

How You'll Work.

Team & Collaboration

Work with partner ML engineers; Work with Annotation engineers; Work with TPMs; Collaborate across engineering disciplines

Communication Scope

Ability to collaborate effectively; Define technical requirements; Execute technical requirements

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