Manager, Data Science

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

Responsible for leading a team which extract knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance.

Job Description

The Technology + Product organization works at the intersection of media and technology and our innovative teams are continually developing and delivering products and next-generation technologies that transform the customer experience.

Comcast Technology Solutions (CTS) brings proven Comcast technology to the world, enabling partners to think big, go beyond, and lead the way in media, advertising, communications, technology and more by partnering with multiple Cable companies across the globe and providing our services to them.

About the Role/Team:

The team is composed of experts in Cloud Computing using AWS, Databricks as well as analytics and visualization using QuickSight. The systems that the team builds gets used across internal and multiple external Cable MSO Partners data science-based services and deployments. This individual will need to manage a team including exempt and non-exempt employees. They will provide subject matter guidance to employees as required, develop processes and procedures to drive department efficiencies, and assist in development and meeting of departmental budget.

This manager will be responsible for leading a team of analysts and data scientists who extract knowledge and insights from high volume, high dimensional device telemetry data in order to understand customer experience and investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. They will be responsible for leading a team of individuals who design, develop and program methods, processes, and systems to consolidate and analyze structured and unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.

Core Responsibilities:

• Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Leads development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models).
• Leads development and execution of statistical and mathematical solutions to business problems to support larger initiatives.
• Leads creation of data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.
• Manages the production of analysis of historical patterns in customer behaviors and product performance from large, noisy, and complex datasets. Manages development and deployment of predictive models based on historical data that provide future predictions about customer behavior.
• Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data.
• Researches, educates and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
• Creates and oversees deliverables and presentations that report methodology and results of analysis.
• Leads the development of customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, set top box data and media/behavioral/attitudinal data.

Skills & Experience We’re Looking For:

• Strong analytical skillset with ability to wrangle big data and perform analysis and draw meaningful insights.
• Skilled in AWS and Databricks for Big Data processing.
• Strong Analytical skills with a preference to someone proficient in QuickSight or similar analytic tools.
• Proficient in at least one programming language (Python, R, Pyspark) and working experience using AWS tool stack.
• Ability to engage with Customers and translate into data science requirements and stakeholder management.
• Working experience in building models and applying machine learning techniques
• Consistent exercise of independent judgment and discretion in matters of significance
• Key skillsets: Statistical analysis, machine learning, software development, code fluency (SQL, Spark, Python, R).
• Advanced degree in Statistics, Mathematics, Computer Science or another quantitative field.
• 7-9+ years of experience manipulating data sets and building statistical models.

About Our Perks & Benefits:

We are determined to create an environment where our employees feel valued, understand our business goals, and are motivated.

Here's a look at just some of the perks and benefits we make available to our US-based employees:

• Medical & Dental
• 401(k) Savings Plan
• Generous paid time off
• Life Milestones - from adoption assistance, childcare resources, pet insurance, and more, Comcast supports you at all life stages
• Courtesy Services - We offer all full-time employees in serviceable areas free digital TV and internet
• Discount tickets for Universal Resorts, including theme park tickets and onsite hotel rooms

Learn more at https://jobs.comcast.com/benefits

Reasonable Accommodation

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.

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.

Skills

Analytical Thinking, Databricks Platform, Data Science, Machine Learning Techniques

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 benefits summary on our careers site for more details.

Education

Bachelor'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

5-7 Years

Comcast is proud to be 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.