Data Scientist, Advertising Products & Solutions

Company Description

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, Dream Works 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.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

NBCUniversal Advertising Products & Solutions (AP&S) is responsible for the product development and project management of NBCUniversal's full advertising technology suite. From sales support to campaign execution, delivery, and billing, our division services both internal and external customers in support of NBCUniversal's $7B+ annual advertising business. Together, we're building the platform that powers the future of advertising at NBCU.

Role Overview :

We are seeking a Data Scientist to join the AP&S Data Science team focused on Media Measurement.

This role offers the opportunity to work with large-scale media datasets, develop analytics pipelines, and contribute to cutting edge measurement solutions for advertising. The ideal candidate is passionate about data driven insights and eager to apply technical skills to real world media challenges.

Responsibilities:

* Design, build, and optimize data pipelines for reach, frequency, and audience measurement using PySpark and Snowflake.

* Develop and implement clean room measurement methodologies for privacy compliant audience analysis.

* Analyze media and audience datasets to identify trends, anomalies, and optimization opportunities.

* Collaborate with product, engineers and data scientists to deliver scalable solutions for advertising analytics.

* Communicate findings and recommendations to technical and nontechnical stakeholders.

* Contribute to documentation, best practices, and process improvements.

Qualifications

Technical

Skills:

* Proficiency in Python and PySpark for data analysis and pipeline development.

* Strong SQL skills; experience with Snowflake or similar cloud data warehouses.

* Familiarity with cloud platforms (AWS, GCP) and tools like Databricks.

* Understanding of data privacy concepts and clean room technologies is a plus.

Soft Skills:

* Strong analytical thinking and problem solving mindset.

* Ability to clearly communicate technical concepts to diverse audiences.

* Collaborative and proactive in a fast paced environment.

Qualifications:

* Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field.

* 1-2 years of experience in data science, analytics, or related roles.

* Hands on experience with Python, PySpark, and SQL.

* Exposure to media, advertising, or digital analytics is a plus.

Additional Information

This role offers :

* Exposure to real world data science applications in the media and advertising industry.

* Opportunities to work on privacy preserving analytics and advanced measurement solutions.

* A collaborative, inclusive, and intellectually stimulating environment.

Fully Remote:
This position has been designated as fully remote, meaning that the…