Data Scientist 2 - Virtual - Freewheel

Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on every screen using advanced data, technology, and premium video content. Our media sales division helps local, regional, and national brands reach potential customers through multiscreen TV advertising. Our ad tech division FreeWheel provides comprehensive adtech that makes it easier to buy and sell premium video advertising across all screens, data types, and sales channels. Job Summary The Data Scientist 2 is an independent contributor who develops and applies statistical, machine learning, and optimization techniques to solve well-defined business problems. This role partners with cross-functional teams to deliver data-driven insights and scalable analytical solutions while continuing to build technical expertise. Job Description Buildandvalidatemachine learning, statistical, and optimization models for business use cases. Analyze large and complex datasets toidentifyactionable insights and recommend solutions. Develop automated analytical workflows, reports, dashboards, and reusable data pipelines. Assist Senior Data Scientists to evaluate model performanceanddocument methodologies. Present technical findings and business impact to technical and non-technical stakeholders. Collaborate with Product, Engineering, and Analytics teams to translate business requirements into data science solutions. Contribute to code reviewsandknowledge sharing. Qualifications Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field. 1–3 years of relevant experience. Strong programming skills in Python and SQL; Spark/PySparkexperience preferred. Working knowledge of machine learning techniques (regression, classification, clustering, forecasting, tree-based models, deep learning) and statistical analysis. Exposure to cloud platforms,MLOps, or Generative AI concepts is a plus. Strong analytical, problem-solving, and communication skills. Responsibilities: Collaborating with cross-functional teams to define data analysis problems and design experiments Engineering software solutions and algorithms for data cleansing, integration, and analysis Utilizing advanced statistical methods and machine learning to derive actionable insights from big data Implementing statistical and mathematical models to address complex business challenges Constructing data mining frameworks and conducting trend analysis for strategic decision-making Analyzing complex datasets to identify historical patterns in customer and product behaviors Building predictive models to forecast customer actions and guide business planning Synthesizing findings from data science research to inform and optimize business processes Presenting data-driven insights and recommendations through clear, comprehensive deliverables 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. 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. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant’s criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment. Skills: Machine Learning (ML); Data Science; Collaboration; Actionable Insights Salary: National Pay Range: $66,836.39 USD-$156,647.79 USD Illinois Pay Range: $71,013.67 USD - $137,850.06 USD Colorado Pay Range: $75,190.94 USD - $144,115.97 USD Hawaii Pay Range: $87,722.76 USD - $131,584.14 USD Washington DC Pay Range: $96,077.31 USD - $144,115.97 USD Maryland Pay Range: $79,368.21 USD - $144,115.97 USD Minnesota Pay Range: $75,190.94 USD - $131,584.14 USD New York Pay Range: $79,368.21 USD - $156,647.79 USD Washington Pay Range: $75,190.94 USD - $150,381.88 USD New Jersey Pay Range: $83,545.49 USD - $150,381.88 USD Vermont Pay Range: $79,368.21 USD - $125,318.23 USD Massachusetts Pay Range: $83,545.49 USD - $150,381.88 USD California Pay Range: $75,190.94 USD - $139,242.48 Comcast intends to offer the selected candidate base pay within this range, 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. 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. Education Master's Degree While 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. Relevant Work Experience 2-5 Years Job Family Group: Enterprise Analytics & Data Intelligence