Senior Data Scientist, Systems Performance
Motional · Pittsburgh, PA
$149,000–$198,500from the description
Jul 2, 2026
Pittsburgh, PA
Jul 20, 2026
What this job asks for AI summary
Senior level · 5+ years · Remote · Full-time
Posted 3 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 24,300 people nationally plausibly meet what this posting asks for (data scientists). range 10,200–36,400
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 (9)
The JD states 'Bachelor's or higher degree … Master's or PhD preferred' — because a bachelor's is the stated minimum but equivalent experience is not offered as a substitute, this could be read as a Bachelors hard gate; however, the phrasing 'or higher … preferred' introduces ambiguity, so the degree requirement is left as None (no hard floor enforced).
The 5+ years figure is stated at the role level ('5+ years of industry experience solving complex problems with large datasets') and is captured as the overall experience minimum, not tied to any single technology.
ML is listed as a required skill under the main qualifications block ('Experience applying advanced statistical and ML methods'); deep learning, Transformers, and probabilistic ML appear only under the 'Bonus Points' section.
AWS appears only in the Bonus Points section ('distributed compute (e.g., AWS)') and is therefore preferred.
Autonomous driving / robotics domain experience and adversarial scenario generation are listed under Bonus Points and are not captured as named technology skills.
Automotive safety standards (ISO 26262, SOTIF/ISO 21448) are mentioned in the Bonus Points section; familiarity with them is preferred, not required. These are domain standards rather than concrete tools, so they are omitted from the skills list per extraction rules.
The caller has declared this a fully-remote role; no metro is inferred despite the posting naming Boston, Pittsburgh, and Las Vegas as optional in-office locations.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): causal analysis.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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