Lead Data Scientist

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.

A successful Data Scientist will have the following:

• Bachelor's degree from four-year college or university; four years related experience; or equivalent combination of education and experience
• The team is heavily invested in R, so a candidate must have extensive experience using it
• Typical data sources are truly "big", and thus working knowledge of Hadoop is a must
• Extensive experience with machine learning and statistical modeling are imperative; text mining and topic modeling are plus
• Experience with: SQL \ Relational databases\ MapReduce and the Hadoop ecosystem (e.g., Hive, Impala, Oozie)
• Python or other languages are a plus/ Experience using streaming techniques is a plus 

The Data Scientist role will entail gathering and interpreting business needs, architecting and executing production data science solutions, and managing data analysts and data scientists. 

Primary Responsibilities:

• Balancing bandwidth within the team and providing technical guidance
• Managing team of data analysts and scientists
• Explaining technical results in down-to-earth ways to customers within the enterprise is critical
• An ideal candidate will display deep technical knowledge and be able to communicate it to a wide audience
• Projects come from all corners of the enterprise, and thus the solutions may require many of the sub-genres of data science

#LI-BR1 Englewood, CO