Company Description
We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.
As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world.
Job Description
In this role, you’ll gather data from different sources (like maps and satellite images) for specific regions to make sure we have all the information we need. You’ll investigate various sources of data, including free and paid options, and check if they cover the areas we need, if they’re up-to-date, and ensure their quality.
To prepare this data, you’ll use specialized tools (like GDAL and custom software) to clean, resize, and align it so it’s ready for our team to use.
This role involves working closely with different teams in our organization. You’ll partner with the AI/ML teams to supply diverse data they need for building new machine learning models, and with the Pipeline and Product teams to ensure they have the necessary data required.

Responsibilities include, but not limited to:

• Aggregate data for target regions and ensure that a complete collection of data is available.
• Research open, public domain, and commercial sensor data sources to determine the areas, quality, and freshness of available data.
• Utilize open source (e.g. gda1) and internally developed software tools to preprocess, align, crop, resample, and otherwise prepare data for use
• Contribute to our internal tools that process and source geospatial datasets.
• Partner with groups across the organization to understand needs for GIS data for AI/ML research. Coordinate with AI/ML team to provide diverse data for developing new machine learning algorithms, and the Pipeline and Product teams to provide data to roll out new regions.
• Partner closely with leadership to understand the high-level product vision

QUALIFICATIONS

• Master’s degree in Computer Science, Engineering, Mathematics, or a related field
• 3+ years of relevant industry experience in a fast paced, high growth tech environment.
• Experience with GIS modalities and formats such as orthoimagery (e.g. GeoTIFF), LiDAR (e.g. LAS/LAZ), vector data (e.g. ESRI Shapefiles, GeoJSON), elevation and terrain information such as DTM, DSM, and DEMs, landcover information.
• Basic scripting abilities (e.g., with Python) for rudimentary automation of common tasks and/or contributing to our existing tool palette.

• Aggregate data for target regions and ensure that a complete collection of data is available.
• Research open, public domain, and commercial sensor data sources to determine the areas, quality, and freshness of available data.
• Utilize open source (e.g. gda1) and internally developed software tools to preprocess, align, crop, resample, and otherwise prepare data for use
• Contribute to our internal tools that process and source geospatial datasets.
• Partner with groups across the organization to understand needs for GIS data for AI/ML research. Coordinate with AI/ML team to provide diverse data for developing new machine learning algorithms, and the Pipeline and Product teams to provide data to roll out new regions.
• Partner closely with leadership to understand the high-level product visio