Manager, Data Science and AI

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.
The Data and AI Products team at DISH drives innovation across satellite and wireless by applying machine learning, advanced analytics, and generative AI to real-world challenges. From churn prediction and customer lifetime value to LLM-powered automation, our work shapes strategy and product experiences. As Data Science & AI Manager, you'll lead a team of data scientists to develop, deploy, and improve predictive and generative AI solutions-mentoring talent, guiding execution, and partnering with business leaders to deliver measurable impact.
Key Responsibilities:

• Manage, mentor, and grow a team of ~6 senior and mid-level data scientists
• Provide technical guidance on model design, experimentation, and code quality while fostering a culture of rigor, curiosity, and collaboration
• Translate business needs into well-scoped data science problems and prioritize work to align with strategic goals
• Lead the development and productionization of predictive (e.g., churn, CLV, segmentation) and generative AI solutions (e.g., transcript analysis, LLM agents)
• Oversee the full model lifecycle-from data ingestion and feature engineering to deployment, monitoring, and responsible AI practices
• Partner with product, engineering, and business leaders to define requirements, deliver value, and present insights to both executive and technical audiences

Skills, Experience and Requirements
Education and Experience:

• Bachelor's or Master's in a quantitative field (e.g., Data Science, Computer Science, Engineering, Statistics, Physics)
• 6+ years in applied data science or ML roles, including 2+ years managing or mentoring other data scientists
• Hands-on experience with machine learning models (classification, regression, clustering, time series, etc.) and LLM/GenAI applications

Skills and Qualifications:

• Skilled in Python and SQL; familiarity with cloud environments (preferably AWS)
• Experience with platforms such as Dataiku, Databricks, or SageMaker for scalable ML/AI workflows
• Strong communication skills and the ability to lead through influence in cross-functional environments
• Experience working in telecom, media, or subscription-based businesses
• Familiarity with customer lifecycle analytics, personalization, or NLP on support interactions
• Exposure to MLOps and model governance best practices

Salary Ranges
Compensation: $126,615.00/Year - $180,895.00/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.