Senior Data Scientist

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit for more information.

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We are seeking a Senior 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.

Key Responsibilities

• Cross-Functional Coordination: Work with partner ML and Annotation engineers 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 the media datasets used for training are representative and accurate.

• 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.

• 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, smart grids, precision agriculture, game development, or aerospace.

• 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 for computer vision and 3D data, such as FiftyOne.

• 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.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $120,000 - 150,000

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.

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