Senior Data Scientist

Dish Network

Dish Network

Data Science

United States · Englewood, CO, USA

USD 83,950-119,900 / year + Equity

Posted 6+ months ago
Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.


Department Summary

Our marketing and advertising teams bring a unique blend of skills to tell the DISH TV and Sling TV story. Whether coordinating high-level messaging for the C-suite, interacting with journalists to drive breaking news or launching a campaign around our latest innovation, our teams lend their voice to the future of communication.


Job Duties and Responsibilities

We are seeking a Senior Data Scientist to optimize growth across DISH and Sling. As part of our Marketing Analytics team, the successful candidate will build campaign segmentation, program analysis, and predictive analytics to support activities in the marketing organization that ultimately strengthen our business. This can include using advanced statistical targeting models, design of experiments, participating in development and maintenance of analytic infrastructure, rigorous program analysis and performing customer analyses.

Key Responsibilities:

  • Leverage SQL development skills to perform full lifecycle data mining activities, including requirements analysis, data quality assessment, data profiling, design and development of analytic data sets, data extraction, transformation and loading (ETL) from relational databases and flat-file sources
  • Build, test and evaluate predictive models for campaign response, customer value, churn, product take-rates and more
  • Develop reporting, test plans, and campaign management structures for key marketing programs
  • Partner with strategy and product owners to identify trends and opportunities
  • Support ad hoc analytical projects including customer-level analysis, segmentation analysis, reporting, product affinity and customer profiling analysis

Skills, Experience and Requirements

Education and Experience:

  • Undergraduate degree in economics, statistics, math, computer science or related fields and three years of relevant experience
  • Four plus years experience with SQL and database skills in Teradata, AWS, and/or SQL Server databases
    At least two years of experience in R, Python, SAS or other complex analytical tool, and Tableau or other data mining/visualization software
  • Experience in predictive modeling (logistic regression, neural nets, decision trees, etc.) and proficiency in designing, implementing and evaluating test designs including recommending test sizes, structure and timing
  • Experience with technical and non-technical presentations of analytic results to senior leadership

Desired Skills and Experience:

  • MBA or Masters degree in data science, statistics, math, or related fields of study is a plus
  • Exposure to lifecycle and digital acquisition marketing
  • Experience with geo-testing

Salary Ranges

Compensation: $83,950.00/Year - $119,900.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.