Lead Data Scientist, Demand Forecasting at Scout Motors
Charlotte, NC
$160,000–$192,500from the description
Jul 13, 2026
Charlotte, NC
Jul 21, 2026
What this job asks for AI summary
This is a senior individual-contributor role focused on building Scout Motors' first demand forecasting model from scratch — before any sales history exists — using reservation data, market analogs, and structured priors. The position owns the full stack: data sourcing, pipeline construction, probabilistic modeling, and eventual productionization into a live planning system alongside engineering. It suits an experienced data scientist with a strong background in Bayesian or time-series methods, cold-start forecasting, and end-to-end model deployment.
Senior level · 12+ years · Charlotte-Concord-Gastonia, NC-SC · 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 150 people in the Charlotte-Concord-Gastonia, NC-SC area plausibly meet what this posting asks for (data scientists). range 80–200
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $135,373 (middle half $99,450–$169,109). 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 intersection of data science (probabilistic/ML modeling) and operations research (demand forecasting for supply-chain/IBP planning), which is why the alternative occupation 15-2031 is flagged. The primary day-to-day work — building and shipping statistical/ML models — tips it to 15-2051.
The degree requirement states 'MS or PhD … or equivalent applied experience', making the degree preferred rather than a hard gate.
The internal leveling code IC7 and 12+ years requirement support a Senior classification despite the high experience bar; the JD describes a single-contributor seat with no people-management scope, so Staff/Principal is not warranted.
AI coding tools (Claude Code, Copilot, Cursor) are listed in the required qualifications section with firm language ('you work fluently with'), so they are treated as a hard gate; the three named tools are interchangeable alternatives for the same requirement.
'Probabilistic modeling' and 'Bayesian modeling' are listed separately because the JD explicitly calls out both as distinct modeling approaches ('hierarchical, Bayesian, or other methods') required for the role.
MLOps and hierarchical forecasting appear only under the 'Nice to have' section.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): probabilistic modeling, time-series modeling, Bayesian modeling.
Read the full posting
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