Lead Data Scientist - Freewheel

Comcast • Chicago, NY

2d

About The Position

The Lead Data Scientist at FreeWheel, a Comcast company, leads the use of advanced data science to address complex business problems and drive strategic insights and actions. The role guides data analysis projects, develops predictive models, mentors teams, and serves as an expert advisor to shape data-driven business improvements. It involves collaborating across product and service teams, applying statistical and machine-learning techniques to large datasets, and researching emerging data science principles to improve business outcomes.

The position requires independent judgment and discretion in significant matters, as well as regular, consistent, and punctual attendance. Nights, weekends, and variable schedules may be required. Other duties and responsibilities may be assigned. Employees are expected to follow Comcast’s Operating Principles, focus on customer experience, learn and advocate for the company’s technology and services, collaborate as a team, participate in the Net Promoter System, drive results and growth, support inclusion, and act responsibly toward colleagues, customers, investors, and communities.

The stated education is a master’s degree, which is preferred; Comcast may also consider a combination of coursework and experience or extensive related professional experience. Relevant work experience is listed as 10 years or more. The listed pay ranges vary by location: New York, $164,721.49–$247,082.24; Illinois, $144,131.31–$257,377.33; and California, $123,541.12–$228,779.85. Base pay depends on job-related, non-discriminatory factors. The application window is 30 days from posting unless adjusted based on applicant volume. Eligible employees may receive Comcast benefits; details are available in the company’s compensation and benefits summary.

Requirements

• 10 years or more of relevant work experience.
• Regular, consistent, and punctual attendance.
• Ability to work nights and weekends and variable schedules as necessary.
• Master’s degree is preferred; Comcast may also consider a combination of coursework and experience, or extensive related professional experience.
• Skills listed include actionable insights, data science, machine learning, predictive modeling, statistical models, and statistics.

Nice To Haves

• Master’s degree.
• A combination of coursework and experience, or extensive related professional experience, may be considered in place of the stated degree.

Responsibilities

• Lead cross-functional collaboration with product and service teams to determine data analysis and experimental needs.
• Design and implement software, algorithms, and automated processes for integrating and cleansing data from diverse sources.
• Apply statistical methods and machine-learning techniques to large datasets and extract actionable insights for business strategy.
• Develop statistical and mathematical solutions to complex business problems to inform strategic initiatives.
• Create data-mining architectures and statistical reporting to identify trends and patterns in extensive datasets.
• Oversee analysis of customer behavior and product performance, using historical data insights for predictive modeling.
• Conduct predictive analytics to anticipate customer behavior and support business decisions with data-driven forecasts.
• Research and apply emerging data science principles to enhance business outcomes and act as an organizational advisor.
• Exercise independent judgment and discretion in matters of significance.
• Maintain regular, consistent, and punctual attendance; work nights, weekends, and variable schedules as necessary.
• Perform other duties and responsibilities as assigned.
• Follow Comcast’s Operating Principles, support customer experience, collaborate with colleagues, participate in the Net Promoter System, drive results and growth, and support an inclusive culture.

Benefits

• Eligible employees have access to a range of benefits intended to support physical, financial, and emotional well-being.
• Most non-sales positions are eligible for a bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior