Atlanta, GA

Salary
$0from the description
Posted
Aug 7, 2026
Location
Atlanta, GA
Last confirmed open
Sep 24, 2026

What this job asks for AI summary

An individual-contributor data scientist role focused on designing and developing algorithms and models against large datasets to generate business insights. The position spans the full analytics lifecycle — from solution development and predictive/prescriptive modeling to communicating findings to non-technical stakeholders. Specialization in one or more areas such as optimization, computer vision, NLP, recommendation, or search is expected.

Mid level · 3+ years · Bachelor's required · Full-time

Nice to have (6)
PythonSQL or Google BigQueryTableauMicrosoft ExcelPowerPointNLP

“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

What won't set you apart
Python88%SQL72%BigQuery72%

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 10, 2026. It is a model, not a headcount.

Why we read it this way (6)

All skills appear under 'Preferred Qualifications', not a hard-requirements gate — none are marked as required.

The posted compensation range is listed as $0.00–$0.00, which is a placeholder; no real salary data is available.

Minimum education is a bachelor's degree in a related field; a master's in a quantitative field is preferred but not required.

Minimum years of experience is stated as 3 in the structured fields, while the Preferred Qualifications narrative mentions 4+ years in business intelligence and analytics — the hard minimum of 3 is used.

Prescriptive modeling domains (optimization, computer vision, recommendation, search, NLP) are listed as areas of specialization; NLP is captured as a representative preferred skill for that cluster.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling.

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