Data Scientist II, AI Analytics at EchoStar
Denver, CO
$100,980–$136,625from the description
Jul 17, 2026
Denver, CO
Jul 21, 2026
What this job asks for AI summary
A data science role focused on building and deploying machine learning models — including customer segmentation, churn prediction, and lifetime value estimation — alongside generative AI and LLM-based solutions that automate enterprise workflows. The position sits at the crossroads of engineering and business strategy, requiring cloud-based pipeline development, A/B testing, and translating analytical findings into executive-facing narratives. Peer mentorship in MLOps is also part of the remit.
Mid level · 3+ years · National · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). 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 (6)
No specific work location is stated in the posting; the compensation note says pay is 'based on the role's location,' suggesting this may be a multi-location or remote-eligible role, but the JD does not explicitly confirm full remote work — remote is set to false as a conservative default.
Scikit-learn, TensorFlow, and PyTorch are listed as interchangeable options under Required Technical Skills ('Scikit-learn, TensorFlow, or PyTorch'); Scikit-learn is used as the primary with the others as alternatives.
AWS, Databricks, and Snowflake are listed as interchangeable cloud platform options under Required Technical Skills; AWS is used as the primary with the others as alternatives.
LLMs and GenAI appear in both the 'Core Skills' and 'Minimum Requirements' sections; LLMs is marked required (hard gate on production LLM deployment); GenAI is listed as a preferred/contextual skill given its framing around 'familiarity with MLOps for GenAI systems' in the secondary competencies block.
The degree requirement is a hard-gated Bachelor's in a quantitative field with no 'or equivalent experience' language.
Visa sponsorship is explicitly not available for this role.
Read the full posting
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