Job Details

Data Scientist

Company name
DISH Network L.L.C.

Location
Englewood, CO

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Profile

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 launch of 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 have a bold sense of pride, adventure, and desire to win – it’s in our DNA.  And 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.The successful Data Scientist will have the following:Bachelor’s degree in Computer Science, Computer Engineering or a related technical degree or an equivalent combination of education and experienceAt least 2 years of experience working within the Agile software development life cycle5-10 years of experience in software development using one or more of the following: Java, C , Python, or Scala in a Unix/Linux environmentFirm understanding of relational databases and relational database design (ex: Oracle or MySQL)Understanding of ETL (Extract, Transform, and Load) concepts and techniques.     Comfortable with common data science techniques (ex: clustering, regression - logistical and linear, confidence intervals, pattern recognition, etc.)Firm understanding of data transformation concepts and approaches on messy datasetsExperience with data visualization tools (ex: Splunk, Tableau, D3.js)Preferred Qualifications:Master's degree in Computer Science, Computer Engineering, Statistics, or Mathematics or a related technical degree.Knowledge of Hadoop and related technologies (ex: Hive, Pig) Python, R or other statistical programming language.Splunk Certification (Power User or above)        Knowledge of messaging systems like Kafka and RabbitMQKnowledge of cloud computing conceptsKnowledge of computer network and application layer protocols             Knowledge of video content delivery methods (examples: satellite/DVB, IP, etc.)Well-developed ability to lead a small teamExperience with Machine Learning or Artificial Intelligence (AI) algorithms Dish Technologies Digital Broadcast Centers provide advanced online video delivery and satellite video delivery for broadcasters and pay-TV operators across North America. Through our network of uplink centers, these world-class facilities are also home to Dish’s 24/7 traffic, technical operations, and satellite access centers. This team is comprised of experienced professionals dedicated to providing customers with an unparalleled level of service delivering content and programming to over 16 million subscribers every day.Dish is looking for an innovative and passionate Data Scientist to join an agile team of data professionals to leverage numerous and growing datasets in the company for constant improvement of our growing line of products and services.  This team uses the scaled agile methodology to create a developer-driven culture via ceremonies such as big room planning, demos, innovation days, and retrospectives.  This position is an opportunity for a motivated data scientist to put their stamp on the data analytics capabilities in our organization and evangelize a data culture in our development organization that will propel the digital TV and video delivery industry into the future.  If you have a sense of adventure, and take pride in building the best products on the planet, we want you on our team here at Dish. Primary responsibilities fall into the following categories:Create and encourage a data-driven cultureVisualize and communicate data findings to stakeholders and decision makers.Cultivate a high-level of business awareness with which to develop impactful data insights.Transform messy or malformed data sets as a prerequisite toward deeper analysis and understanding of the data (Data Munging - normalization)Leverage Machine Learning and Artificial Intelligence concepts and algorithms to create innovative tools and processes within the company.Stay in-tune with big data technology progression and trendsResearch and develop statistical learning models to address business problems.Infuse data-driven problem solving into organizational software engineering processes.              Apply scientific rigor and principles to daily data analysis activities that focus on repeatable and reproducible results.Actively participate in the 4 core agile team ceremonies: sprint planning, backlog refinement, demo, and retrospectivesWrite and execute unit tests and automated acceptance testsContinually integrate code to a common trunk and continually deploy to a production systemPromote teamwork by actively participating in paired programming and code reviewsDesign and develop software using the Microservice Manifesto #LI-PC1 Additional Info Job Industries Customer Service

Company info

DISH Network L.L.C.
Website : http://about.dish.com

Company Profile
Three people – Charlie Ergen, Candy Ergen and Jim DeFranco – were hauling an enormous C-band TV dish antenna via pickup truck to a customer in remote Colorado. In the early 1980s this was one of only two dish antennas owned by the developing new business. A powerful gust of wind whipped up, blowing the antenna off its trailer and into a roadside ditch. There goes half of the company. Summed up as a bad day in the infancy of DISH, the founding trio overcame this setback to build what is now a Fortune 250 company that employs thousands and serves millions throughout the nation – a seemingly unlikely future on that blustery day.

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