DISH

Lead Data Scientist

US-CO-Englewood
Job ID
2015-32502
Category
Information Technology

Summary

DISH is a Fortune 200 company with more than $15 billion in annual revenue that continues to redefine the communications industry. Our legacy is innovation and a willingness to challenge the status quo, including reinventing ourselves. We disrupted the pay-TV industry in the mid-90s with the launch of the DISH satellite TV service, taking on some of the largest U.S. corporations in the process, and grew to be the fourth-largest pay-TV provider. We are doing it again with the first live, internet-delivered TV service – Sling TV – that bucks traditional pay-TV norms and gives consumers a truly new way to access and watch television.

 

Now we have our sights set on upending the wireless industry and unseating the entrenched incumbent carriers.

 

We are driven by curiosity, pride, adventure, and a desire to win – it’s in our DNA. We’re looking for people with boundless energy, intelligence, and an overwhelming need to achieve to join our team as we embark on the next chapter of our story.

 

Opportunity is here. We are DISH.

Job Duties and Responsibilities

Primary Responsibilities

  • Interpreting business problems from a variety of business units and projects and designing technical solutions that may require work from various sub-disciplines of data science
  • Providing technical leadership on machine learning and data processing/analytics
  • Working alongside software and data engineers within the team providing technical guidance and mentorship to team members
  • Establish technical foundations, best practices and next-generation technologies
  • Communicate project plans, design and scope to a wide audience including both technical and non-technical people

 

Skills - Experience and Requirements

A successful Data Scientist will have the following:

 

  • Extensive experience with machine learning and statistical modeling are imperative; text mining and topic modeling are plus
  • The team is heavily investing in modern machine learning methods and technologies, so experience with Deep Learning, Neural Networks and corresponding technologies such as Tensorflow, Caffe, PyTorch, Scikit Learn, Numpy etc. is a plus
  • Python, R or other languages is a must
  • Typical data sources are truly "big", and thus working knowledge of Big Data technologies & NoSQL databases in addition to traditional Relational Databases is a must. Experience using streaming data processing techniques is a plus
  • Bachelor's degree from four-year college or university; four years related experience; or equivalent combination of education and experience
  • Experience with Agile software development practices, software delivery automation (CI/CD) and cloud technologies is a plus

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