Chicago, United States; New York, US; Reston, United States; Sunnyvale, United States
Full job description
FreeWheel, a Comcast company, seeks a Data Scientist for the Audience & AI group within the Revenue Science engineering team. The role supports product development involving data analysis, AI, machine learning, optimization, and statistical modeling. Collaborate with engineering and product teams to develop next-generation ad tech products. Requirements include a Bachelor's degree in a technical field (Master’s or PhD preferred), 2+ years experience with Python, SQL, AWS, Databricks, Snowflake, and analytical model implementation. Knowledge of AI platforms (Amazon Bedrock), large language models, AI orchestration (LangChain, LangGraph), optimization models, and data visualization tools (Looker, Tableau) is a plus. Responsibilities include defining data-driven questions, engineering algorithms and automated data processes, applying advanced data science methods, implementing ad tech solutions, researching new technologies, and delivering insights through visualization. The role requires strong analytical skills, independent work capability, and effective communication of technical concepts to non-technical audiences. Salary ranges vary by location: New York ($118,300-$177,450), Illinois ($103,512-$184,844), California ($88,725-$164,306).
What you'll do
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Chicago, United States; New York, US; Reston, United States; Sunnyvale, United States
Full-time
Collaborate with cross-functional teams to define data-driven questions and conduct experiments
Engineer and refine algorithms, software, and automated processes for data integration and cleansing
Utilize statistical rigor and advanced data science methods to analyze large datasets
Implement ad tech solutions leveraging statistical models and machine learning methods
Research and apply new technologies and analytical methods
Apply advanced data visualization to provide key insights
Work independently and as part of a broader team across multiple projects
Develop statistical and mathematical solutions to complex business problems
Architect data mining models and protocols to discern trends in large datasets
Deploy predictive analytics to anticipate customer behavior and support strategic decisions
Synthesize forecasts and strategic recommendations using data science
Advance business decision-making by researching and applying novel data science principles
Exercise independent judgment and discretion in significant matters
Maintain regular, consistent, and punctual attendance; work nights and weekends as necessary
Perform other duties as assigned
Requirements
Bachelor’s degree in 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
Experience using AWS, Databricks and Snowflake technologies
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 ETL pipelines
Skilled at machine learning model building and evaluation
Strong analytical and problem-solving skills
Ability to work independently
Proven ability to deliver on complex projects within deadlines
Ability to communicate technical concepts to a non-technical audience
Base pay within posted range dependent on experienceCommission for sales positionsBonus for most non-sales positionsBest-in-class benefits including physical, financial, and emotional supportPersonalized options and expert guidanceAlways-on tools to support employees
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