Product Data Scientist Ii

Department Summary
DISH is a Fortune 200 company 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.
Job Duties and Responsibilities
DISH is seeking a talented Data Scientist II to join our dynamic team, dedicated to supporting multiple Product Teams in their analytical endeavors. As a crucial member, you will engage in A/B testing for new features across OTT and DBS platforms, conduct forecasting and predictive modeling for product usage, and establish analytical frameworks for potential future products. Collaborating with stakeholders from product, design, and engineering teams, you will implement data analytics, provide pipeline support, and contribute valuable insights through data visualization and reporting. Your role extends to coordinating significant analytical projects, such as standardizing A/B testing, benchmarking, and overseeing large-scale forecasting models.
Key Responsibilities:

• Conduct A/B testing for new features on both OTT and DBS platforms
• Develop and implement forecasting and predictive modeling for product usage
• Create analytical frameworks for potential future products
• Collaborate with product, design, and engineering teams to implement data analytics
• Provide pipeline support for engineering teams
• Choose optimal methodologies for specific analyses
• Generate relevant data visualizations and report insights
• Coordinate larger analytical and modeling projects, including A/B testing standardization, benchmarking, and large-scale forecasting models

Skills, Experience and Requirements
Education and/or Experience:

• Bachelor's Degree or equivalent experience
• 2+ years of analytical experience, ideally in a product development field, or equivalent educational experience

Skills and Qualifications:

• A well-rounded knowledge and in-field experience with quantitative methodologies including statistical testing in a product development environment
• Python
• Experience with a variety of data visualization tools (Tableau, PowerBI, or similar)
• Strong SQL and relational database knowledge
• Cross-Team analytical support
• Experience speaking to both technical and non-technical audiences
• AWS backend experience

Salary Range
Compensation: $63,150.00/Year - $90,000.00/Year
Compensation and Benefits
We also 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.