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# Senior Data Scientist

- **Company:** Nbcuniversal Media, LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Confluence, JIRA, Collaborative Software, Data Integrity, Data Visualization, Video Game Development, Python (Programming Language), Unix Shell, Machine Learning, Raw Data, Data Strategy, Git, Smartgrid
- **Published:** August 20, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27950393/Senior-Data-Scientist-New-York-New-York-1011

## About the Role

* 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.

## Description

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., * 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.


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