Sr. Data Scientist - Freewheel

Comcast Corporation

Job Overview

Location

Virtual

Job Type

Full-time

Full Job Description

📋 Description

• Implement ad tech solutions using statistical models and machine learning methods to enhance advertising performance across screens and sales channels.
• Identify key data questions and conduct exploratory analyses to uncover insights driving product development in audience revenue science.
• Build forecasting models tailored to advertising use cases, including audience targeting, impression prediction, and revenue estimation.
• Apply optimization techniques such as linear and nonlinear programming to improve ad scheduling and inventory allocation efficiency.
• Leverage AWS and Spark-based technologies to process and analyze large-scale advertising datasets efficiently.
• Research, evaluate, and integrate emerging analytical methods and technologies to maintain competitive advantage in ad tech innovation.
• Utilize advanced data visualization tools to translate complex analytical results into actionable insights for engineering and product teams.
• Work independently and collaboratively across cross-functional teams including engineering, product management, and business stakeholders.
• Translate technical findings into clear, non-technical communication to support decision-making by non-data audiences.
• Drive end-to-end delivery of complex data science projects within defined timelines and business objectives.
• Maintain alignment with Comcast’s Operating Principles by prioritizing customer experience, innovation, teamwork, and inclusion in all work.
• Advocate for data-driven decision-making across the organization by embedding analytical rigor into product development cycles.
• Continuously improve model performance and data pipelines through iterative testing, validation, and feedback loops.
• Support the evolution of Freewheel’s ad platform by contributing to next-generation technologies that enable global, cross-screen ad transactions.
• Ensure data integrity and analytical accuracy across all modeling outputs used for revenue optimization and client reporting.
• Stay current with industry trends in advertising technology, machine learning, and data science applications in media and digital advertising.

🎯 Requirements

• Bachelor’s degree in a technical field such as Data Science, Computer Science, Engineering, Business Analytics, Mathematics, Statistics, or Operations Research; Master’s or PhD preferred
• At least 3 years of experience with Python, SQL, and analytical model implementation
• Experience with optimization models such as Linear and Nonlinear Programming
• Proven ability to deliver complex data science projects within deadlines
• Experience using AWS or other cloud-based platforms
• Strong ability to communicate technical concepts to non-technical audiences

🏖️ Benefits

• National pay range of $93,062.99 USD - $218,116.38 USD, with regional variations based on location
• Eligibility for bonus compensation for non-sales positions
• Comprehensive benefits package including health, financial, and emotional support services
• Access to Comcast’s best-in-class benefits designed to support employees physically, financially, and emotionally

Skills & Technologies

Python

AWS

Apache Spark

Data Science

Senior

Onsite

Degree Required

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Comcast Corporation

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About Comcast Corporation

Comcast Corporation is a global telecommunications and media conglomerate headquartered in Philadelphia, Pennsylvania. It operates through two primary segments: Comcast Cable, which provides broadband, video, voice, and wireless services under the Xfinity brand, and NBCUniversal, which owns and operates cable networks, broadcast television, filmed entertainment, and theme parks. The company also owns Sky, a leading European media and entertainment company. Comcast is one of the largest internet and pay-TV providers in the United States, serving millions of residential and business customers. Founded in 1963 as a single-system cable operator, it has grown through acquisitions and infrastructure expansion.

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