• The primary goal of the Senior Data Scientist is to develop, implement, and maintain machine learning or AI models and algorithms to enhance underwriting processes and customer management strategies. • This role involves continuous improvement and experimentation with models, monitoring their performance, and providing data-driven insights to support business decisions. • Additionally, the role includes participating in strategic decision-making and mentoring other team members. • Design, develop, and implement machine learning models and algorithms for underwriting and customer management. • Design and conduct experiments to enhance existing models, ensuring their accuracy and reliability through rigorous testing, validation, and benchmarking. • Implement monitoring systems to track the performance and quality of models, regularly reviewing and retraining them based on evolving data patterns and business requirements. • Apply advanced analytical methodologies to solve complex business challenges, presenting insights through charts and graphs, and effectively communicating findings to non-technical stakeholders.

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 Sr. Data Scientist to join our Audience Revenue Science Team. This role will be responsible for supporting product development efforts related to in-depth data analysis, machine learning, AI, 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 - Implement ad tech solutions leveraging statistical models and machine learning methods - Identify key data questions and conducting exploratory analyses - Building forecasting methods for advertising use cases - Applying optimization methods for ad scheduling applications - Effectively leveraging key functionality in AWS and Spark-based technologies - 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 project 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, Master's or PhD a plus - At least 3 of experience with Python, SQL, and analytical model implementation - Experience with Optimization Models such as Linear and Nonlinear Programming - Skilled at data mangling and manipulation - Experience with data visualization tools and programming packages - Strong analytical and problem-solving skills; ability to work creatively in problem solving environment - Experience using AWS or other cloud-based platforms - Proven ability to deliver on complex projects within deadlines - Ability to communicate technical concepts to a non-technical audience - Strong interest in advertising technology 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. - Respect and promote inclusion & diversity. - 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 EOE/Veterans/Disabled/LGBT employer. 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); Business Analytics; Artificial Intelligence (AI); Model Building; Structured Query Language (SQL); Data Science; Python (Programming Language) Salary: National Pay Range: $93,062.99 USD-$218,116.38 USD Illinois Pay Range: $98,879.43 USD - $191,942.42 USD Colorado Pay Range: $104,695.86 USD - $200,667.07 USD Hawaii Pay Range: $122,145.18 USD - $183,217.76 USD Washington DC Pay Range: $133,778.05 USD - $200,667.07 USD Maryland Pay Range: $110,512.30 USD - $200,667.07 USD Minnesota Pay Range: $104,695.86 USD - $183,217.76 USD New York Pay Range: $110,512.30 USD - $218,116.38 USD Washington Pay Range: $104,695.86 USD - $209,391.73 USD New Jersey Pay Range: $116,328.74 USD - $209,391.73 USD Vermont Pay Range: $110,512.30 USD - $174,493.11 USD Massachusetts Pay Range: $116,328.74 USD - $209,391.73 USD California Pay Range: $104,695.86 USD - $193,881.22 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 5-7 Years

• Complete a 15-minute structured survey from your desktop computer • Detail your experience evaluating enterprise data and analytics platforms • Provide specific feedback on the analytics tools you currently use • Record brief video responses using your web camera if prompted

Role Description This Principal Data Scientist role will be a part of the Decision Sciences team in Client Center of Excellence organization. The role will be responsible for strategic interpretation of data and business requirements to provide executive leadership and the growth with customer centric data driven insights and AI/ML solutions. Working in collaboration with Director, Decision Sciences and other data scientists team members, this role works to: - Identify new business requirements across the organization. - Translate business requirements into data models. - Perform data engineering to combine diverse data sets. - Develop custom algorithms for predictive AI models to support the Growth business and Optum business units. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Lead development of advanced AI/ML systems using techniques such as deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to solve complex healthcare problems. - Develop Generative AI and LLM-powered solutions including retrieval-augmented generation (RAG) pipelines, domain-adapted LLMs, and AI copilots for enterprise workflows. - Lead collaboration with key business stakeholders to develop business solutions based on data driven insights to solve complex business problems. - Lead projects that combine diverse customer data sets to identify trends and opportunities, develop custom machine learning models, and provide recommendations to optimize the business and address data-related problems. - Serve as a senior technical authority in AI/ML by mentoring data scientists and reviewing complex modeling approaches and architecture. - Coordinate with different functional teams to improve customer data architecture, ensure accuracy of model output and implement new data gathering processes. - Create customized summaries, business presentations and documentation for internal business clients based on the results of research. - Collaborate with engineering, platform, and product teams to operationalize scalable AI/ML and GenAI systems within enterprise platforms. Qualifications - 8+ years of experience in machine learning, artificial intelligence, or applied data science to develop data products in a business environment. - 8+ years of experience in Python-based machine learning development using frameworks such as PyTorch, TensorFlow, Pandas or equivalent. - 5+ years of experience designing and deploying production machine learning systems leveraging regression, natural language processing algorithms, classification and clustering, time-series forecasting and predictive/prescriptive modeling. - 5+ years of experience providing data driven solutions, predictive models, reports, or recommendations within a business environment using SQL or data visualization tools. Requirements - Experience working with distributed ML systems and large-scale data platforms such as Snowflake, Spark, Databricks, or other ML systems. - Experience working as a project or team lead on the development of data products in a business environment. - Experience working as a key SME to executive or C-Suite stakeholders. - Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP. - Experience working with healthcare datasets and standards such as claims, EHR, ICD, CPT, SNOMED, FHIR, or HL7. - External contributions such as publications, patents, or open-source projects in machine learning or generative AI. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase. - 401k contribution (all benefits are subject to eligibility requirements).