EchoStar is looking to solve the business problem of accurately forecasting sales for its retail wireless brands (Boost Mobile and Gen Mobile) by developing and maintaining predictive models. This involves understanding price elasticity, simulating the impact of pricing and promotional strategies, and translating complex insights into actionable recommendations for business stakeholders.
Requirements
- 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
- Strong foundation in statistics, probability, and machine learning concepts
- Proficiency in Python or R for data analysis and modeling.
- Experience with SQL for data extraction and manipulation.
- Demonstrated ability to build modular, scalable forecasting models using statistical and machine learning techniques (e.g., SARIMA, Prophet, XGBoost, etc.)
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
- 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
Other
- Partner with cross-functional teams (Sales, Marketing, Finance, Supply Chain) to gather domain context and ensure models align with business priorities
- Excellent story-telling and communication skills
- Strong problem-solving, analytical thinking, and communication skills
- Solid understanding of telecom or retail industry dynamics and sales cycles
- Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.
