Charlotte, NC

Salary
$179,400–$245,600from the description
Posted
Jul 25, 2026
Location
Charlotte, NC
Last confirmed open
Jul 26, 2026

What this job asks for AI summary

A data science role embedded within an internal model audit function, responsible for reviewing models and model risk practices across the organization. Day-to-day work involves building and validating machine learning models, applying NLP and generative AI techniques to large datasets, and translating analytical findings into business-relevant insights. The role suits candidates with a quantitative background and hands-on experience in Python, SQL, and machine learning.

Senior level · 4+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · Bachelor's required · Full-time

Must have (3)
Python, Scala or Rmachine learning · 1+ yrsSQL
Nice to have (7)
AWS · 1+ yrsSparkH2OCondadeep learning · 1+ yrsNLPGenerative AI

“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

Roughly 850 people in the Washington-Arlington-Alexandria, DC-VA-MD-WV area plausibly meet what this posting asks for (data scientists). range 640–1,100

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.

What won't set you apart
Python88%machine learning80%SQL72%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $135,107 (middle half $108,024–$176,763). 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 (8)

The title is 'Manager, Data Scientist' but the JD describes a hands-on individual-contributor data science role (building/auditing ML models, writing code) with no mention of direct reports, headcount, or budget ownership. Classified as a Data Scientist (15-2051) rather than a CIS Manager (11-3021); the runner-up reflects the title ambiguity.

The role is posted across five locations (Charlotte NC, McLean VA, New York NY, Plano TX, Richmond VA); the CBSA reflects the McLean/DC metro as the highest-paying and likely primary location. The salary range shown ($179,400–$245,600) spans all listed locations.

The overall years minimum is set to 4, reflecting the minimum analytics experience required under the Master's/MBA pathway, which is the most common entry point. The Bachelor's pathway requires 6 years; the PhD pathway requires 1 year.

The open-source programming language requirement (1 year, required) names Python, Scala, and R as interchangeable options; Python is listed as the primary with Scala and R as alternatives.

SQL (relational databases) is listed as a required Basic Qualification with 1 year minimum; the Preferred section upgrades this to 4 years. Marked required at the 1-year gate.

AWS, Spark, H2O, and Conda appear in the narrative stack description ('Leverage a broad stack of technologies') rather than in a requirements section, so they are marked preferred. AWS also appears in the Preferred Qualifications section (1 year), reinforcing its preferred status.

Deep learning and Generative AI appear under Preferred Qualifications (1 year each) and are marked preferred accordingly.

NLP is mentioned in the narrative as an emerging technology focus area but does not appear in either the Basic or Preferred Qualifications sections; marked preferred.

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