Lead Data Scientist

Data Scientist in Salt Lake City, UT

Posted 2019-03-04

About the position

Our mission is to build the next generation, web scale platform for Sling TV.  Our environment is…


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
Able to lead a team of 3-5 into the world of data science
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, do 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
Data mining using state-of-the-art methods. Create automated anomaly detection systems and constant tracking of its performance.
A team player. We have a great group of diverse folks working together in harmony.  Big egos and “super heroes” need not apply.
Real-time machine learning

Basic Requirements:

A successful Data Science Lead will:

Be available to work onsite out of our American Fork, UT or Englewood, CO offices
Have a 4-year college degree in Computer Science / Information Technology, master’s degree and or a PHd is preferred or equivalent professional experience
10+ years professional enterprise experience
Open to occasional travel for quarterly planning meetings and or other key workshops
Here are some of the key technologies that make up our environment.  While we do not expect you to have a detailed understanding of each, the more of these you are familiar with the better.


ELK Stack / HDFS / Hadoop / Hive
AWS Big Data Tools: S3, Kinesis, Red Shift, Athena
Java, Python, R, SQL
Machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests,, etc.
Artificial Intelligence
Predictive Analytics
Tableau or other visualization tools
Kafka / Confluent
CI / CD and Cloud Native Computing (Docker, Kubernetes, Consul, Vault)

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Company summary

DISH redefined the communications industry through the launch of the DISH satellite TV service, taking on some of the largest US corporations in the process, and growing to be the fourth-largest pay-TV provider.


Company stock and profit sharing; free subscription to DISH and SlingTV services.

Tech Stack

Java, J2EE, React, Redux, JavaScript, Angular, Ruby, JSON, SOAP UI, Eclipse, Jenkins, IntelliJ, Gitlab, AWS, Spring Batch, Spring Boot, Docker, PL/SQL, C#, Selenium

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