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
Bring a combination of mathematical rigor and innovative algorithm design to create recipes that extract relevant insights from billions of rows of data to meaningfully improve Comcast user experience.
Do you like big challenges and working within a highly-motivated team environment? As a Data Scientist, you will research, develop, support and apply new techniques using real-time distributed computing architectures. You will employ your skills to deliver insights into customer and network behavior to drive business decisions that will shape the future of Comcast and be part of a team that thrives on big challenges, results, quality, and agility.
Who does the Data Scientist work with?
The Data Engineering and Science team as part of our Next Generation Access Network is a diverse collection of professionals who work with a variety of organizational roles ranging from software engineering teams whose software integrates with analytics services, network architects and engineers, to service delivery engineers who provide support for our product, testers, operational stakeholders with all manner of information needs, and executives who rely on data for data based decision making.
What are some interesting problems you’ll be working on?
Develop models capable of processing millions of events per second and multi-billions of events per day, providing both a real time and historical view into the operation of our products and services. Work on high performance real time data stores and a massive historical data sets using best-of-breed and industry leading technology. Work closely with various engineering teams to solve key optimization, insight and access network data challenges.
Where can you make an impact?
The Comcast Next Generation Access Network Data Engineering and Science team is acquiring, studying, simulating, and modeling to enable data as a key driver and core functional component toward better understanding, predicting, and dynamically optimizing the access network to improve overall user experience. Success in this role is best enabled by a broad mix of skills and interests ranging from traditional distributed systems software engineering prowess to the multidisciplinary field of data science.
Job Description
Core Responsibilities
- Building a strong intuitive understanding of the problem domain (Next Generation Access Networks). Identify testable hypotheses to explain interesting phenomena in this domain.
Develop and communicate goals, strategies, tactics, project plans, timelines, and key performance metrics to reach goals
Here are some of the specific technologies we use:
MySQL, Cassandra, HBase, MongoDB, RDBMS
Java, Scala, Go, Python, R
Rancher, Puppet, Concourse, Docker, Ansible, Kubernetes
Hadoop (HDFS, YARN, ZooKeeper, Hive), Presto, Athena
Understanding of machine learning techniques and algorithms, especially in the deep learning area -- both theoretical underpinnings and craft (Systems such as Tensorflow, Theano, Caffe, scikit.learn and their APIs).
Applied statistics skills and understanding of probability distributions, statistical testing, regression, etc.
Experience with common data science toolkits, such as scikit-learn, R, etc. Excellence in at least one of these is highly desirable.
Experience with data visualization tools, such as D3.js, GGplot, Matplotlib, etc.
Experience with NoSQL databases, such as MongoDB, Redis/ElasticCache, Cassandra, HBase
Good scripting and programming skills, such as Java, Scala, R, Python, or Spark
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 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.
Skills:
Machine Learning; Decision Making; Problem Solving; Data Science; Python (Programming Language)
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 compensation and 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.
Relevant Work Experience
7-10 Years
