Data Scientist – Talent Analytics & Organizational Research
Peraton · UNAVAILABLE
$66,000–$106,000from the description
Jul 22, 2026
UNAVAILABLE
Jul 24, 2026
What this job asks for AI summary
A people analytics role focused on applied workforce research — analyzing attrition, engagement, internal mobility, and performance outcomes using SQL, R or Python, and statistical methods such as hypothesis testing and regression. The work spans the full analytical lifecycle, from scoping and data extraction through to presenting findings and recommendations to senior HR and business leaders. Best suited to someone with a quantitative background who is comfortable translating messy workforce data into clear, decision-ready insights.
Mid level · 5+ years · Remote · 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 27,400 people nationally plausibly meet what this posting asks for (data scientists). range 14,400–35,600
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
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 (7)
The role sits at the boundary between 15-2051 Data Scientists and 15-2031 Operations Research Analysts: the work is applied workforce/people analytics (descriptive, diagnostic, hypothesis testing, regression) rather than ML/modeling-heavy data science, but the title and stated trajectory toward 'increasingly sophisticated modeling' tip it toward 15-2051.
Experience requirement has three paths: Bachelor's + 5+ years, Master's + up to 3 years, or 9+ years in lieu of degree. The 5-year floor with a Bachelor's is used as the overall years minimum; the degree field is set to None because equivalent experience is explicitly accepted.
Python and R are listed as interchangeable options ('R or Python') in the requirements section; Python is listed as the primary with R as the alternative.
The posting states a preference for candidates able to work occasionally from the Reston, VA office, but explicitly allows fully remote work — remote is set to true.
US citizenship is a hard requirement stated in the qualifications, but no formal security clearance is required or mentioned.
Workday, Alteryx, and machine learning appear only under Preferred Qualifications.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): regression modeling.
Read the full posting
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