Chicago, United States; New York, US; Reston, United States; Sunnyvale, United States
Full job description
FreeWheel, a Comcast company, is hiring a Data Scientist for the Audience & AI group within the Revenue Science engineering team. The role supports product development through 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, large language models, and optimization models is a plus. Responsibilities include defining data-driven questions, engineering data integration processes, analyzing large datasets, implementing ad tech solutions, researching new technologies, applying data visualization, and working independently and in teams. Salary ranges vary by location: New York ($118,300-$177,450), Illinois ($103,512-$184,844), California ($88,725-$164,306). Benefits include competitive pay, commissions/bonuses, and comprehensive support for employee well-being.
What you'll do
Collaborate with cross-functional teams to define data-driven questions and conduct experiments
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Chicago, United States; New York, US; Reston, United States; Sunnyvale, United States
Full-time
Engineer and refine algorithms, software, and automated processes for data integration and cleansing
Analyze large datasets using statistical rigor and advanced data science methods
Implement ad tech solutions leveraging statistical models and machine learning
Research and apply new technologies and analytical methods
Apply advanced data visualization to provide key insights
Work independently and as part of a team across multiple projects
Develop statistical and mathematical solutions to complex business problems
Architect data mining models and protocols to discern trends in complex datasets
Deploy predictive analytics to anticipate customer behavior and support strategic decisions
Synthesize forecasts and strategic recommendations from business data
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) 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 depending on experienceCommission for sales positionsBonus for most non-sales positionsBest-in-class benefits supporting physical, financial, and emotional well-beingPersonalized support through various life milestones
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