Resume Score

Check how well your resume matches this job before you apply.

Sign in to check score

About the role

  • Senior Data Scientist managing large media datasets and collaborating across teams at NBCUniversal. Ensuring data integrity and high-quality machine learning inputs for projects.

Responsibilities

  • Work with partner ML and Annotation engineers and TPMs to specify 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, turning high-level project goals into actionable data specifications for engineering and annotation teams
  • Maintain high standards for data integrity, ensuring that the media datasets used for training are representative and accurate

Requirements

  • Degree or certification in Data Science or a related computational sciences field
  • Proven experience as a Data Scientist in a fast-paced environment
  • Prior experience in industries with complex multidisciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace
  • Proficiency 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
  • Must be legally authorized to work in Canada
  • Must be willing to travel for work-related business, if necessary

Benefits

  • Health insurance
  • Professional development opportunities
  • Flexible work arrangements

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

PythonUnix

Location requirements

RemoteCanada

Report this job

Found something wrong with the page? Please let us know by submitting a report below.