Jackson, MSremote

Salary
$115,175–$159,125from the description
Posted
Aug 6, 2026
Location
Jackson, MS
Last confirmed open
Sep 24, 2026

What this job asks for AI summary

A data scientist role supporting the USSOCOM Preservation of the Force and Family (POTFF) program, applying advanced analytics, machine learning, statistical modeling, and data visualization to improve outcomes for Special Operations Forces personnel and their families. The role involves building dashboards, conducting program evaluations, running A/B tests, and deploying ML models, working alongside program staff, biostatisticians, and government stakeholders. An active Secret clearance is required.

Senior level · 5+ years · Remote · Master's required · Secret clearance · Full-time

Advertised as Mid, but the requirements read as Senior.

Must have (11)
Python · 5+ yrsR or R ShinySPSS or SasMicrosoft ExcelMicrosoft WordMicrosoft AccessScikit-learn, PyTorch, TensorFlow or Keras · 5+ yrsSQL · 5+ yrsHadoop, Hive, Spark or Snowflake · 5+ yrsAWS, Azure or GCP · 5+ yrsScala or Julia · 5+ yrs
Nice to have (5)
AWS SageMaker or DatabricksMLOpsPower BI or TableauNLPmachine learning

“or” means any one of them counts — you don't need all of them.

Posted 8 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

What gives you an edge
Microsoft Access10%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python88%SQL72%Scikit-learn58%R42%

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 Aug 7, 2026. It is a model, not a headcount.

Why we read it this way (10)

This posting contains two overlapping 'Minimum Requirements' blocks with different degree and experience thresholds. The first block requires a Master's degree and 3+ years of research experience; the second block lists a B.S./B.A. as required with an advanced degree preferred, and demands 5+ years across ML frameworks, data engineering, and programming. The Master's degree and 5-year experience floor are treated as the effective hard gates, as they represent the stricter combined reading.

The role is tied to a specific government contract (USSOCOM POTFF) and is noted as 'pending upon contract award,' which may affect start timing.

No work location or CBSA is specified in the posting; the role supports a government program (USSOCOM) but no city or base is named.

SPSS and SAS are listed together as examples of 'commonly used statistical software' in the requirements block; both are captured as a single skill with alternatives.

Scikit-learn, PyTorch, TensorFlow, and Keras are listed as examples of ML/deep learning frameworks in the second requirements block; Scikit-learn is used as the primary name with the others as alternatives.

Hadoop, Hive, Spark, and Snowflake are listed as examples of big data analytics architectures in the requirements block; Hadoop is used as the primary with the others as alternatives.

AWS SageMaker, Databricks, and GCP AI Platform appear under 'Working knowledge' framing in the requirements block — this is softer than the firm 5-year gates above it, so treated as preferred.

Power BI is explicitly called 'a plus' in the second requirements block and appears again under Preferred Skills; treated as preferred.

MLOps experience is explicitly called 'a plus.'

Requires a Secret clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.

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