{"id":1747900,"url":"https://alion.io/job/comcast-corporation-data-scientist-3-freewheel","title":"Data Scientist 3 - Freewheel","company":{"id":9377,"name":"Comcast","domain":"comcast.com","url":"https://alion.io/company/comcast-corporation","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":11,"ghost_share":0,"stale_share":0.364,"repost_share":0.091,"time_to_fill_p50_days":12,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","Chicago, United States","Sunnyvale, United States","Reston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":118300,"max":177450,"currency":"USD","period":"year","gross":null,"usd_annual":177450},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Databricks","optional":true},{"name":"ETL/ELT","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Looker","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-25T00:00:00Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-23T03:49:57Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"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\nFreewheel 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\nDesired Skills and Experience\nBachelor’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\nAt least 2 years of experience with Python, SQL, and analytical model implementation required\nExperience using AWS, Databricks and Snowflake technologies required. Other on-prem/ cloud platforms a plus\nKnowledge of AI platforms (e.g., Amazon Bedrock), large language models and AI orchestration (e.g., LangChain, LangGraph) technologies desired\nExperience with Optimization Models such as Linear and Nonlinear Programming a plus\nExperience with data visualization tools like Looker and Tableau a plus\nSkilled at data mangling and extract, transform, load (ETL) pipelines\nSkilled at machine learning model building and evaluation\nStrong analytical and problem-solving skills; ability to work independently in a problem solving environment\nProven ability to deliver on complex projects within deadlines\nAbility to communicate technical concepts to a non-technical audience\nStrong interest in advertising technology\nPosition Responsibilities:\nCollaborating with cross-functional teams to define data-driven questions and conduct experiments for product and service enhancements\nEngineering and refining algorithms, software, and automated processes for robust data integration and cleansing from multiple sources\nUtilizing statistical rigor and advanced data science methods to analyze large datasets, deriving insights through predictive models and machine learning\nImplement ad tech solutions leveraging statistical models and machine learning methods\nResearching and applying new technologies and analytical methods\nApplying advanced data visualization to provide key insights\nWorking independently and as part of a broader team across multiple projects\nCollaborating with cross-functional teams to define data-driven questions and conduct experiments for product and service enhancements\nEngineering and refining algorithms, software, and automated processes for robust data integration and cleansing from multiple sources\nUtilizing statistical rigor and advanced data science methods to analyze large datasets, deriving insights through predictive models and machine learning\nDeveloping statistical and mathematical solutions to complex business problems, contributing to broader initiatives with minimal supervision\nArchitecting data mining models and protocols to discern trends within extensive, intricate datasets, enhancing customer and product insights\nDeploying predictive analytics based on historical data to anticipate customer behavior and support strategic business decisions\nSynthesizing forecasts and strategic recommendations by applying data science to business data for impactful project support\nAdvancing business decision-making by researching and applying novel data science principles and emerging analytical techniques\nConsistent exercise of independent judgment and discretion in matters of significance.\nRegular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.\nOther duties and responsibilities as assigned.\nEmployees at all levels are expected to:\nUnderstand our Operating Principles; make them the guidelines for how you do your job.\nOwn 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.\nKnow your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.\nWin as a team make big things happen by working together and being open to new ideas.\nBe 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.\nDrive results and growth.\nSupport a culture of inclusion in how you work and lead.\nDo what's right for each other, our customers, investors and our communities.\nDisclaimer: 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.\nSkills\nData Science, Machine Learning (ML), Python (Programming Language), Structured Query Language (SQL)Compensation\nNew York Pay Range: $118,300.41 - $177,450.62This 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.Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.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. Please visit the compensation and benefits summary on our careers site for more details.\nEducation\nMaster's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.Certifications (if applicable)\nRelevant Work Experience\n5-7 YearsComcast is an equal opportunity workplace. 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