Agentic AI Scientist

EchoStar • Foster City, CA • 3d ago

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.

We are an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. U.S. Citizenship is required for certain positions. EEO is the law.

At EchoStar, you have the right to request reasonable accommodations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact careers@echostar.com. This contact information is for accommodation requests only; you may not use this contact information to inquire about the status of an application.

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