Senior Data Scientist

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Logo of NBCUniversal

NBCUniversal

10,000+ employees

Founded 2004

📱 Media

Media • Entertainment

NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.

📋 Description

• 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

🎯 Requirements

• Master'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 • 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.

🏖️ Benefits

• medical, dental and vision insurance • 401(k) • paid leave • tuition reimbursement • a variety of other discounts and perks

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