Data Scientist at Sling TV

| Greater Denver Area
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Summary

Sling TV L.L.C. provides an over-the-top (internet delivered) television experience on TVs, tablets, gaming consoles, computers, smartphones, smart TVs and other streaming devices. Distributed across a variety of strategic device partners, including Google, Amazon, Apple TV, Microsoft, Roku, Samsung, LG, Comcast, and many others, Sling TV offers two primary domestic streaming services that collectively include more than 100 channels of top content. Featured programmers include Disney/ESPN, NBC, AMC, A&E, EPIX, NFL Network, NBA TV, NHL Networks, Pac-12 Networks, Hallmark, Viacom, and more. For Spanish-speaking customers, Sling Latino offers a suite of standalone and extra Spanish-programming packages tailored to the U S. Hispanic market.  And for those seeking International content, Sling International currently provides more than 300 channels in 20 languages (available across multiple devices) to U.S. households. 

 

Sling TV is the #1 Live TV Streaming Service  Sling TV is a next-generation service that meets the entertainment needs of today’s contemporary viewers. Visit www.Sling.com. 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 Sling.

Job Duties and Responsibilities

Job Duties and Responsibilities

About the position

Our mission is to integrate personalization into the Sling TV customer experience. This role will be critical in expanding personalization within the Sling TV application. The projects will ensure that customers see the most relevant content for them. Projects this role could be working on include:

 

  • Re-developing Sling TV’s in-app search engine.
  • Enhancing Sling TV’s in-house recommendation engine.
  • Developing customer behavior segments.
  • Further developing in-app personalization features.

 

Our environment is…

  • Complex
  • Highly elastic
  • Based on some of the latest and greatest cloud native technologies
  • Very fast paced

Your team will be…

  • Enabling a proper enterprise Data Lake in AWS
  • Building models and tools to get value out of the mass amounts of data we have in our environment
  • Enabling the best, most personalized and resilient customer experience possible

In order to be successful in this role, you will need to be…

  • Highly motivated, driven & hard working
  • Not afraid to fail and comfortable working independently and with a team
  • Comfortable working with massive datasets in real time and batch processing with superior analytics skills
  • Comfortable talking to and working with Senior Executives
  • Apply data mining techniques, statistical analysis, and build high quality prediction systems integrated with our product. Doing ad-hoc analysis and presenting results in a clear manner.
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • A team player. We have a great group of diverse folks working together in harmony.  Big egos and “super heroes” need not apply.

Skills - Experience and Requirements

Skills - Experience and Requirements

You would be considered a great fit for this role if you have the following:

  • Bachelor’s degree in Applied Math, Statistics, Data Science/Analytics, Engineering, or a related technical degree.
  • Proven ability to learn things quickly and stay up to date on breakthroughs in Data Science techniques.
  • Experience with at least one of the following programming languages: Python or R
  • Comfortability with manipulating data using Python, R, or SQL.
  • Experience with common statistics methodologies such as clustering, regression, forecasting, classification, regularization, resampling, etc.
     

These qualifications would make you stand out among other applicants:

  • Experience with recommendation engines (item/content-based filtering, matrix factorization, LSTM/RNNs, etc.)
  • Experience with LTR (Learning-To-Rank), Gradient Boosting for Search, Tensorflow-Ranking, or other algorithms associated with optimizing search.
  • Experience with Apache Solr, ElasticSearch, or other search tools.
  • Great communication skills - someone who is passionate about evangelizing the value of
    advanced data science capabilities.
  • Experience with some machine learning methodologies such as Neural Networks, SVM, Random Forest, Natural Language Processing.
  • Experience with AWS - Sagemaker, Athena, S3, and RedShift.
  • Master’s Degree and/or Ph.D. in Applied Math, Statistics, Engineering or a related field
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Location

We have 2 headquarters in the Greater Denver area - you won't have to travel far! Business teams sit just south of DTC, while our IT team is downtown.