Principal Data Scientist - 26254 at Enverus
Austin, TX
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Jul 19, 2026
Austin, TX
Jul 21, 2026
What this job asks for AI summary
A senior technical leadership role focused on building and evolving large-scale power market models within a Market Management System. The work centers on designing optimization, forecasting, and simulation methodologies for nodal wholesale electricity markets, collaborating with engineering and product teams to bring those models into production software. Best suited to someone with deep wholesale electricity market expertise and hands-on experience with large-scale optimization and Python development.
Senior level · Remote · Bachelor's required · Full-time
Advertised as Principal, but the requirements read as Senior.
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 (8)
No work location or CBSA is specified in the posting; Enverus is headquartered in Austin, TX but the role appears to be remote-eligible based on the company's distributed workforce model. CBSA left blank due to genuine ambiguity.
The title is 'Principal Data Scientist' but the actual requirements — deep domain expertise in wholesale electricity markets, production-grade Python, optimization modeling, and cross-team technical leadership — are consistent with a Senior-level scope. The 'Principal' designation appears to reflect seniority within Enverus' internal ladder rather than org-wide technical authority across multiple teams, so the role is sized at Senior.
SOC classification is Medium confidence: the role blends mathematical optimization/forecasting (15-2051 Data Scientists) with substantial production software development responsibilities (15-1252 Software Developers). The modeling and analytical framing is primary, but the emphasis on production-grade code and scalable software is notable.
Kubernetes and API development are listed under the Required section with the qualifier 'familiarity with,' which normally signals preferred; however, because they appear explicitly in the hard-requirements block, they are treated as required gates. The qualifier signals the depth expected is familiarity rather than deep expertise.
No compensation range is disclosed in the posting.
A Bachelor's degree in a quantitative field is hard-required; a Master's or PhD is listed under Preferred.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): nodal wholesale electricity market modeling, AC/DC power flow modeling, ISO/RTO market software.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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