Data Scientist

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 Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a first-of-its-kind 5G network, a passion for change and the power to drive it, we are the nation's fourth facilities-based wireless carrier and a new disruptive force in the market.
Job Duties and Responsibilities
Key Responsibilities:

• Design, develop, and maintain predictive models for sales forecasting, ensuring they are modular and flexible to accommodate dynamic business inputs
• Build plug-and-play forecasting frameworks that allow easy incorporation of new parameters such as pricing, promotional cadence, channel performance, seasonality, and customer segments
• Conduct price elasticity and scenario modeling to simulate the impact of pricing and promotional strategies
• Partner with cross-functional teams (Sales, Marketing, Finance, Supply Chain) to gather domain context and ensure models align with business priorities
• Monitor model performance, perform error diagnostics, and continuously refine features and assumptions for improved accuracy
• Create documentation and reusable code pipelines to streamline model deployment and updates
• Translate complex predictive insights into actionable recommendations and compelling visual narratives for business stakeholders

Skills, Experience and Requirements
Education and Experience:

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Master's degree a plus).
• 3-5 years of experience in data science or analytics roles, with a strong focus on forecasting and predictive modeling
• Experience incorporating diverse datasets (e.g., pricing, inventory, promotions, external market data) into forecasting workflows
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data platforms like Snowflake or Databricks

Skills and Qualifications:

• Excellent story-telling and communication skills
• Strong foundation in statistics, probability, and machine learning concepts
• Strong problem-solving, analytical thinking, and communication skills
• Solid understanding of telecom or retail industry dynamics and sales cycles
• Proficiency in Python or R for data analysis and modeling.
• Experience with SQL for data extraction and manipulation.
• Familiarity with data visualization tools
• Strong proficiency in Python (Pandas, Scikit-learn, Statsmodels, etc.), SQL, and experience with data visualization tools like Tableau or Power BI
• Demonstrated ability to build modular, scalable forecasting models using statistical and machine learning techniques (e.g., SARIMA, Prophet, XGBoost, etc.)
• Familiarity with marketing mix modeling, demand planning, or pricing optimization frameworks
• Exposure to ML Ops and model monitoring best practices
• Exposure to cloud platforms such as AWS, GCP or Azure.

Salary Ranges
Compensation: $83,160.00/Year - $118,800.00/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.