Data Scientist 3 - Freewheel

Comcast (CC) of Willow Grove; United States; On-site; USD 104,000 - 185,000; Full time

Benefits offered by this job

Health insurance

401(k) or similar retirement plan

Job summary

FreeWheel, a Comcast company, is seeking a Data Scientist to join the Audience & AI group within the Revenue Science engineering team. You will support product development through data analyses, AI, machine learning, and optimization, collaborating closely with engineering and product management to advance next-gen ad tech products.

The role emphasizes statistical rigor, predictive modeling, data visualization, and the ability to communicate complex concepts to non-technical stakeholders.

Qualifications

• Bachelor's degree in a technical field required; Master's or PhD a plus
• At least 2 years of experience with Python, SQL, and analytical model implementation
• Experience with AWS, Databricks and Snowflake technologies
• Knowledge of AI platforms (e.g., Amazon Bedrock) and AI orchestration tools
• Experience with optimization models (linear and nonlinear) is a plus
• Experience with data visualization tools like Looker and Tableau is a plus
• Skilled at data mangling and ETL pipelines
• Skilled at machine learning model building and evaluation
• Strong analytical and problem-solving skills; ability to work independently
• Excellent communication of technical concepts to non-technical audiences
• Strong interest in advertising technology

Responsibilities

• Collaborating with cross-functional teams to define data-driven questions and conduct experiments
• Engineering and refining algorithms and automated data integration from multiple sources
• Applying statistical methods to analyze large datasets and derive insights via predictive models
• Deploying ad tech solutions leveraging statistical models and ML methods
• Researching and applying new technologies and analytical methods
• Applying advanced data visualization to provide key insights
• Working independently and as part of a broader team across multiple projects
• Developing statistical and mathematical solutions to complex business problems
• Architecting data mining models to discern trends in large datasets
• Deploying predictive analytics to anticipate customer behavior and support decisions
• Synthesizing forecasts and strategic recommendations using data science
• Advancing business decisions by applying novel data science principles

Skills

Python

SQL

Analytical modeling

ML

AI platforms

Education

Bachelor's degree

Master's degree

Tools

AWS

Databricks

Snowflake

Looker

Tableau

LangChain

LangGraph

Amazon Bedrock

Job description

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary

Freewheel is currently looking to recruit a Data Scientist to join our Audience & AI group as part of the Revenue Science engineering team. This role will be responsible for supporting product development efforts related to data analyses, AI, machine learning, optimization methods, and statistical model building. This role will work very closely with engineering and product management staff to support the development of innovative approaches to the next generation of ad tech products.

Job Description

Desired Skills and Experience

• Bachelor's degree in a technical field such as Data Science, Computer Science, Engineering, Business Analytics, Mathematics, Statistics, or Operations Research required; Master's or PhD a plus
• At least 2 years of experience with Python, SQL, and analytical model implementation required
• Experience using AWS, Databricks and Snowflake technologies required. Other on-prem/ cloud platforms a plus
• Knowledge of AI platforms (e.g., Amazon Bedrock), large language models and AI orchestration (e.g., LangChain, LangGraph) technologies desired
• Experience with Optimization Models such as Linear and Nonlinear Programming a plus
• Experience with data visualization tools like Looker and Tableau a plus
• Skilled at data mangling and extract, transform, load (ETL) pipelines
• Skilled at machine learning model building and evaluation
• Strong analytical and problem-solving skills; ability to work independently in a problem solving environment
• Proven ability to deliver on complex projects within deadlines
• Ability to communicate technical concepts to a non-technical audience
• Strong interest in advertising technology

Position Responsibilities

• Collaborating with cross-functional teams to define data-driven questions and conduct experiments for product and service enhancements

• Engineering and refining algorithms, software, and automated processes for robust data integration and cleansing from multiple sources

• Utilizing statistical rigor and advanced data science methods to analyze large datasets, deriving insights through predictive models and machine learning

• Implement ad tech solutions leveraging statistical models and machine learning methods

• Researching and applying new technologies and analytical methods

• Applying advanced data visualization to provide key insights

• Working independently and as part of a broader team across multiple projects

• Collaborating with cross-functional teams to define data-driven questions and conduct experiments for product and service enhancements

• Engineering and refining algorithms, software, and automated processes for robust data integration and cleansing from multiple sources

• Utilizing statistical rigor and advanced data science methods to analyze large datasets, deriving insights through predictive models and machine learning

• Developing statistical and mathematical solutions to complex business problems, contributing to broader initiatives with minimal supervision

• Architecting data mining models and protocols to discern trends within extensive, intricate datasets, enhancing customer and product insights

• Deploying predictive analytics based on historical data to anticipate customer behavior and support strategic business decisions

• Synthesizing forecasts and strategic recommendations by applying data science to business data for impactful project support

• Advancing business decision-making by researching and applying novel data science principles and emerging analytical techniques

• Consistent exercise of independent judgment and discretion in matters of significance.

• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.

• Other duties and responsibilities as assigned.

Employees at all levels are expected to

• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Support a culture of inclusion in how you work and lead.
• Do what's right for each other, our customers, investors and our communities.

Disclaimer

This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Data Science, Machine Learning (ML), Python (Programming Language), Structured Query Language (SQL)

Compensation

New York Pay Range: $118,300.41 - $177,450.62

This job can be performed in Illinois with a Pay Range of $103,512.86 - $184,844.39. This job can be performed in California with a good faith estimated pay range upon hire of $88,725.31 USD - $164,306.12.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life.

Education

Master's Degree

Certifications

Relevant Work Experience

5-7 Years

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.