EchoStar is looking to leverage data science and GenAI to drive business outcomes, including customer segmentation, churn prediction, user modeling, lifetime value estimation, and automating complex workflows.
Requirements
- 3+ years of experience in data science and applied machine learning, with a proven track record of delivering business impact from data-driven solutions
- Strong foundation in statistical and machine learning techniques, including regression, classification, clustering, neural networks, and ensemble models
- Proficient in Python and SQL for data science workflows; skilled in building and evaluating generative AI and LLM-based solutions
- Experienced in prompt engineering, model evaluation, and deploying LLMs in production environments
- Skilled in processing unstructured data (text, images) using modern ML/DL frameworks
- Proven ability to design, run, and analyze A/B tests and controlled experiments
- Hands-on experience with AWS cloud environments and enterprise-scale ML platforms like Dataiku and Databricks
Responsibilities
- Develop machine learning models for customer segmentation, churn prediction, user modeling, and lifetime value estimation
- Design and deploy GenAI and LLM solutions to automate complex workflows, such as transcript analysis and compliance validation
- Transform and analyze large-scale structured and unstructured data (e.g., text, images) to uncover actionable insights
- Collaborate with cross-functional teams to build and deploy scalable, cloud-based data science and GenAI solutions; provide technical mentorship
- Communicate complex models and findings to both technical and non-technical audiences via dashboards, notebooks, and presentations
- Partner with stakeholders to identify high-impact, feasible opportunities and demonstrate how data science can drive business outcomes
Other
- Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
- Visa sponsorship not available for this role
- Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
- EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law.
