Senior Data Scientist - AI Products

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 Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities
Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
Key Responsibilities:

• Partner with stakeholders to identify high-impact, feasible opportunities and demonstrate how data science can drive business outcomes.
• 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.

Skills, Experience and Requirements
Education and Experience:

• Bachelor's or Master's degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field
• 4+ years of experience in data science and applied machine learning, with a proven track record of delivering business impact from data-driven solutions

Skills and Qualifications:

• 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.

Preferred Qualifications:

• Master's or PhD in a relevant quantitative domain
• Experience with big data tools such as Amazon Athena, Redshift, BigQuery, Spark, or Teradata
• Familiarity with MLOps practices for deploying, monitoring, and maintaining ML/GenAI systems in production
• Data engineering skills for preprocessing, cleaning, and transforming large-scale datasets

Salary Ranges
Compensation: $110,688.00/Year - $181,844.00/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.