EchoStar is seeking a Staff Data Scientist to join its AI Office, bridging data science and business outcomes. The role involves building production-grade GenAI and machine learning solutions, including customer segmentation, churn prediction, and LLM-based workflow automation. Responsibilities include transforming large-scale structured and unstructured data into actionable insights, architecting cloud-based solutions, and providing technical mentorship.
Responsibilities
Partner with stakeholders to identify high-impact AI opportunities and demonstrate business value
Deliver production-ready machine learning models for customer segmentation, churn prediction, and lifetime value estimation
Architect and deploy GenAI and LLM solutions to automate complex workflows such as transcript analysis and compliance validation
Transform large-scale structured and unstructured data into actionable insights for product strategy and user modeling
Collaborate with cross-functional teams to build scalable, cloud-based solutions and provide technical mentorship
Communicate complex models and findings through intuitive dashboards and presentations
Requirements
Bachelor's degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field
6+ years of experience in data science and applied machine learning
EchoStar Corporation is a global leader in communications and content delivery, providing satellite, wireless, and internet connectivity solutions. The company operates through subsidiaries including DISH Network, Boost Mobile, Sling TV, EchoStar Mobile, and Hughes Network Systems to offer pay-TV, mobile services, and satellite network solutions to consumer, enterprise, and government customers.