Senior Data Scientist

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.

Multi-brand telecom and technology environments face operational complexity and resource inefficiencies when deploying large-scale artificial intelligence models across hybrid infrastructures. This role addresses these challenges by driving the strategic evaluation and deployment of advanced AI architectures through statistical rigor and predictive modeling. The position designs autonomous agentic AI pipelines and governance frameworks to guarantee model reliability across cloud-native and on-premises environments. Delivering high-fidelity simulations and benchmarks directly resolves subscriber churn and optimizes network operational efficiency.

What Success Looks Like (Objectives)

Optimize model performance and cost-efficiency by benchmarking execution pathways between cloud-native and on-premises environments for large-scale deployments.

Lead the design and statistical validation of multi-agent architectures using LangGraph and AWS Bedrock to automate network provisioning and achieve autonomous operational workflows.

Enhance network efficiency by developing high-accuracy predictive models for churn prevention, anomaly detection, and time-series forecasting.

Maintain enterprise model integrity and long-term validity through automated experiment tracking, versioning, and drift detection using Databricks Unity Catalog.

Translate complex quantitative outputs into actionable executive scorecards and Digital Twin policy simulations to guide business strategy, vendor evaluations, and alignment with NIST AI RMF standards.

Skills, Experience and Requirements:

Core Skills and Competencies (What You’ll Bring)

Advanced proficiency in AI innovation, specifically the application of agentic frameworks such as LangChain or LangGraph to solve autonomous operation challenges.

Strong expertise in machine learning development using Python, PyTorch, and TensorFlow to construct models with high predictive power and statistical reliability.

Critical experience in LLM deployment strategies, including RAG optimization, fine-tuning, and performance inference across hybrid cloud environments.

Deep technical understanding of MLOps lifecycle management within modern data platforms like Databricks or SageMaker to ensure scalable model delivery.

Collaborative professional expertise in data storytelling, translating complex quantitative findings into strategic recommendations for C-suite stakeholders.

Thorough knowledge of AI governance and responsible AI principles, including NIST AI RMF and TOGAF standards, to mitigate model risk and ensure ethical data application.

Additional Qualifications

Familiarity with TM Forum ODA or telecom-specific data models.

Exposure to on-premises AI infrastructure, including GPU cluster provisioning or Kubernetes platforms.

Background in knowledge graphs or enterprise search optimization.

Minimum Requirements

Minimum Education: Bachelor’s Degree in Computer Science, Data Science, Statistics, Electrical Engineering, or a related quantitative field

Minimum Experience: 5+ years of experience in data science

Required Technical Skills: Must have at least 2 years of experience with:

Python (Scikit-learn, PyTorch, or TensorFlow)

Databricks, Spark, or AWS (SageMaker/Bedrock)

SQL and cloud-native orchestration (dbt or Airflow)

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: EchoStar 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.

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. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

Salary Range: USD $96250.00 - $137500.00 / Year