Senior Data Scientist at EchoStar
Littleton, CO
$96,250–$137,500from the description
Jul 21, 2026
Littleton, CO
Jul 22, 2026
What this job asks for AI summary
A senior data science role focused on deploying large-scale AI and machine learning models across hybrid cloud and on-premises telecom infrastructure. Day-to-day work involves building multi-agent AI pipelines, predictive models for churn and anomaly detection, and MLOps governance frameworks. Suits an experienced practitioner comfortable with LLM deployment, agentic frameworks, and translating quantitative findings for executive audiences.
Senior level · 5+ years · Denver-Aurora-Lakewood, CO · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2 people in the Denver-Aurora-Lakewood, CO area plausibly meet what this posting asks for (data scientists). range 1–4
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $114,994 (middle half $99,317–$151,203). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (10)
Location is not explicitly stated in the posting. EchoStar/DISH is headquartered in Englewood, CO (Denver metro); the CBSA has been inferred accordingly.
The 2-year minimum for Python/PyTorch/TensorFlow is stated as a combined requirement ('Python (Scikit-learn, PyTorch, or TensorFlow)'); PyTorch and TensorFlow are listed as alternatives to each other within that gate. Scikit-learn is emitted as a separate required skill under the same gate.
The 2-year minimum for Databricks/Spark/AWS is stated as a combined requirement; Spark and SageMaker are captured as alternatives.
The 2-year minimum for SQL and cloud-native orchestration (dbt or Airflow) is stated together; dbt and Airflow are listed as alternatives to each other.
LangChain and LangGraph appear in the 'Core Skills and Competencies' (required) section as named agentic frameworks; they are emitted as separate required skills because the posting treats them as distinct tools used together, not pure substitutes.
AWS Bedrock is called out specifically in the objectives section (not the requirements block) as a named tool for multi-agent architecture; listed as preferred.
Databricks Unity Catalog is named specifically in the objectives as the experiment-tracking/versioning platform; treated as required given the broader Databricks gate in the required skills block.
NIST AI RMF and TOGAF appear in the 'Core Skills and Competencies' required section under AI governance.
Kubernetes, TM Forum ODA, and knowledge graphs appear under 'Additional Qualifications' (a secondary, optional section) and are marked preferred.
The alt SOC (15-1252 Software Developers) reflects the meaningful MLOps/pipeline engineering and agentic AI development scope, though the primary framing is data science/ML modeling.
Read the full posting
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