AI Data Scientist at St. George Tanaq Corporation
Frankfort, KY
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Aug 14, 2026
Frankfort, KY
Sep 25, 2026
What this job asks for AI summary
This role supports HUD's Office of the Chief Information Officer by building and deploying machine learning models, predictive analytics, and generative AI solutions for federal government use cases. The data scientist will work across data engineering, MLOps, model governance, and responsible AI practices, collaborating with multidisciplinary teams including engineers, architects, and business stakeholders. It suits an experienced practitioner comfortable taking models from experimentation through production in a governed, compliance-conscious environment.
Senior level · 5+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 4 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
Roughly 1,700 people nationally plausibly meet what this posting asks for (data scientists). range 1,050–2,550
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 18, 2026. It is a model, not a headcount.
Why we read it this way (7)
The posting requires candidates to pass a federal background check and obtain NACI clearance, but frames this as a condition of employment rather than a hard gate at application time — no active clearance is required to apply.
The Technical Skills section lists Python (with Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), SQL, NoSQL, Apache Spark, Kafka, Git/GitHub/GitLab, and visualization libraries. These appear in a dedicated skills block rather than a strict 'Required' section; however, given the depth of specificity and the role's production-ML focus, the core programming and data tools are treated as required while visualization libraries and MLOps/CI/CD tools (listed alongside preferred qualifications) are treated as preferred.
TensorFlow and PyTorch are presented as interchangeable ('TensorFlow and/or PyTorch') — captured as one skill with PyTorch as an alternative.
Git, GitHub, and GitLab are listed together as a version-control requirement; Git is used as the canonical name with GitHub and GitLab as alternatives.
A Master's degree is preferred, not required; the hard minimum is a Bachelor's degree in a quantitative field.
No compensation range is stated in the posting.
The role involves an estimated 10–15% annual domestic travel, which is not captured in any structured field.
Read the full posting
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