Note: The job is a remote job and is open to candidates in USA. Comcast is a leading company in the advertising industry, focusing on delivering innovative solutions for TV advertising. The Sr Data Scientist will act as a technical leader responsible for architecting and delivering enterprise AI/ML solutions, collaborating with various teams and mentoring technical staff.
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
Skills
- 7-10 Years of relevant work experience
- 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
- Master'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
Benefits
- 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.
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