Senior Data Scientist, Xfinity Wi-Fi

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

Be part of the systems team that manages and operates world’s largest public Wi-Fi network. The work involves analysis and performance improvement of our Xfinity Wi-Fi networks @hyperscale, using state of the art optimization techniques, machine learning, specification and use of wireless measurements, and analysis of network performance, building business insights that could help create future deployment strategy. The solutions are all implemented in the cloud, using an agile development process.

Job Description

This role is based with the team in our cutting-edge Comcast Technology Center in downtown Philadelphia. It is not open for remote or virtual employment.

Responsibilities: 

• Responsible for extracting knowledge and insights from high volume, high dimensional data. 
• Investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques. 
• Utilize advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. 
• Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for customer experience improvement. 
• Leads development and execution of statistical and mathematical solutions to business problems to support larger initiatives. 
• Works with large, noisy, and complex datasets to produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data. 
• Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. 
• Builds customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data. 
• Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise. 

Experience Must: 

• 5+ years of experience in Python  
• 5+ Experience in Database technologies, SQL, MySQL, Elastic search, Big Query, ETLs and framework development. 
• 5+ Experience with data analysis, data wrangling and visualization 
• 3+ year of experience with Machine Learning algorithms, statistical analysis, model building, and evaluation 
• Experience processing large data sets 
• Excellent analytical and problem-solving skills required 
• Strong experience with Amazon RDS, Amazon Redshift, GCP 
• Experience with data quality and validation 

Experience Desired: 

• Experience with deep learning and understanding of neural networks 
• Experience with Data Clustering/ Anomaly detection 
• Experience with real time data processing 

Education Level 

• Bachelor’s degree or higher in Electrical Engineering, Computer Science or Mathematics

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.
 

Skills

Data Analysis, Data Science, Machine Learning, Python (Programming Language), Statistics

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

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)

Relative Work Experience

7-10 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.