Data Scientist at PRGX Global, Inc
Atlanta, GA
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Jul 6, 2026
Atlanta, GA
Jul 20, 2026
What this job asks for AI summary
A data science role focused on building and deploying end-to-end machine learning pipelines — covering data preprocessing, model training, evaluation, and deployment — applied to large datasets in a source-to-pay analytics context. The position involves collaborating with cross-functional teams, translating findings for non-technical audiences, and occasionally mentoring interns. It suits someone with a relevant master's degree and at least a year of hands-on ML experience, ideally with Python and big data tooling.
Mid level · 1+ years · National · Master'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
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 Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (3)
The JD hard-requires a Master of Science degree; a PhD is listed as preferred, so Masters is the minimum gate.
The minimum experience requirement is stated at the role level as '1 year of experience applying machine learning techniques', which is unusually low for a Master's-level role. Combined with the mentoring responsibility (guiding interns), this reads as an early-career/mid-level position rather than junior or senior.
NLP, deep learning frameworks (TensorFlow/PyTorch), and cloud platforms (AWS/GCP/Azure) all appear under the explicit 'Preferred Qualifications' section.
Read the full posting
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