Agentic AI Scientist - EchoStar : Job Details

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.

EchoStar is seeking a skilled and results-oriented Senior Data Scientist to lead the development and deployment of enterprise-scale machine learning (ML) and deep learning solutions. In this critical role, you will work closely with data engineers, analysts, and ML engineers to create impactful AI models that enhance automation, optimization, and decision intelligence across the organization. This position calls for hands-on technical depth in ML, strong statistical foundations, and a sharp ability to translate business problems into scalable AI solutions.

Key Responsibilities:

• Design, train, and deploy ML and deep learning models for business applications
• Build scalable pipelines for model training, validation, deployment, and monitoring
• Analyze large, complex datasets to deliver actionable insights and recommendations
• Develop modular APIs and tools to integrate models into enterprise platforms
• Partner with teams to define use cases and translate business problems to ML solutions
• Apply testing, benchmarking, and monitoring to ensure robust model performance
• Use Git, GitLab CI/CD, Docker, and Terraform for ML lifecycle automation
• Document models, processes, and ensure reproducibility and governance
• Mentor junior team members and contribute to AI/ML strategy and roadmap

Skills, Experience and Requirements

Education and Experience:

• Bachelor's in Computer Science, Statistics, Engineering, or related field (Master's preferred)
• 5+ years of experience in ML, deep learning, or AI development in production settings
• Strong record of delivering business value via applied statistical and ML methods

Skills and Qualifications:

• Strong Python skills; proficient in Scikit-learn, XGBoost, TensorFlow, PyTorch, FastAPI/Flask
• Skilled in data processing with Pandas, NumPy, SQL, and PySpark
• Expertise in regression, classification, clustering, forecasting, and model evaluation
• Experience with DL for vision, NLP, tabular data using TensorFlow/PyTorch
• Worked with AWS tools: SageMaker, Lambda, S3, EKS, Athena
• Familiar with CI/CD (GitLab), Docker, Kubernetes, Terraform for ML deployment
• Knowledge of MLOps, model versioning, monitoring, and lifecycle management
• Strong communication and teamwork in Agile, cross-functional environments

Salary Ranges Compensation: $96,250.00/Year - $158,125.00/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.