Job Summary
The Sr Data Scientist is a senior technical leader and recognized subject matter expert responsible for architecting and delivering enterprise AI/ML solutions. This role leads multiple strategic initiatives, partners across Product, Engineering, and MLOps, mentors technical teams, and drives the adoption of advanced AI capabilities.
Job Description
- Lead multiple data science initiatives and architect scalable AI/ML, optimization, and Generative AI solutions for complex business problems.
- Design and implement advanced statistical, machine learning, optimization, forecasting, recommendation, and AI models that deliver measurable business value.
- Partner with Engineering andMLOpsto develop production-ready AI solutions, model monitoring, and deployment best practices.
- Define technical approaches,establishdata science standards, and evaluate emerging AI technologies.
- Lead cross-functional programs, influence technical strategy, and communicate complex analytical concepts to business and executive stakeholders.
- Mentor and develop junior data scientists while fostering technical excellence and innovation across the organization.
Demonstratedexpertiseacross multiple AI/ML techniques, with specialization in areas such as optimization, forecasting, recommendation systems, pricing, attribution, or supply chain analytics.
Responsibilities:
- Collaborating with product and service teams to define data-driven questions and design experiments for complex analysis
- Leading the development and coding of algorithms and automated processes for data cleansing and integration from varied sources
- Applying advanced statistical methods and machine learning techniques to extract actionable insights from large datasets
- Creating statistical and mathematical models to address sophisticated business issues and support broader initiatives
- Architecting data mining models and methodologies, and executing statistical analyses to identify trends in big data
- Analyzing behavioral data to discern historical customer behavior patterns and product performance insights
- Building predictive models based on historical data to forecast customer behavior and guide business strategy
- Formulating strategic recommendations and tactical plans by leveraging data science techniques on complex business data
- Researching and implementing emerging data science principles and techniques to inform and enhance business decisions
- Communicating analytical methodologies and results through comprehensive deliverables and stakeholder presentations
- 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.
Skills
Big Data, Business Decisions, Collaboration, Data Science
Compensation
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 the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. 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 on our careers site for more details.
The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
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.
Certifications (if applicable)
Relevant Work Experience
7-10 Years