Data Scientist – CPSE Eng Ops (Opex Analytics & Automation) at Qualcomm
San Diego, CA
$108,000–$162,000from the description
Aug 10, 2026
San Diego, CA
Sep 24, 2026
What this job asks for AI summary
This role sits within Qualcomm's Engineering Operations group and focuses on building Python-based analytics, forecasting models, and AI/automation workflows to support operating expense planning, headcount management, and management reporting. The successful candidate will integrate solutions with enterprise systems such as Oracle ERP, SAP, and TM1, and deliver dashboards and self-service tools to CPSE Eng Ops leadership. It suits an analytically strong data scientist comfortable bridging finance/operations data with applied ML and GenAI tooling.
Mid level · 4+ years · San Diego, CA · Full-time
“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 540 people in the San Diego, CA area plausibly meet what this posting asks for (data scientists). range 400–700
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 $133,871 (middle half $95,474–$167,770). 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 12, 2026. It is a model, not a headcount.
Why we read it this way (5)
The minimum qualification section accepts a Bachelor's degree OR an Associate's degree with more experience OR a high school diploma with even more experience, and explicitly allows advanced degrees to substitute for up to two years of experience — so no single degree level is a hard gate; the degree requirement is set to None accordingly. The separately listed 'Qualifications' section does name a Bachelor's degree in a specific field, but the Minimum Qualifications block (which governs rejection) overrides this with the multi-path structure.
The role is genuinely ambiguous between Data Scientists (15-2051) and Operations Research Analysts (15-2031): it involves statistical modeling, forecasting, and ML/AI (pointing to 15-2051) but is heavily oriented toward Opex/finance analytics, variance analysis, and management reporting (pointing to 15-2031). 15-2051 was chosen as primary because of the explicit Python/ML/GenAI/LLM delivery emphasis.
Enterprise system integrations (Oracle ERP, SAP, TM1) appear in the responsibilities narrative rather than a hard-requirements block, so they are marked as preferred. Power Automate/n8n, Databricks, Power BI/Tableau all appear explicitly under Preferred Qualifications.
No specific location beyond Qualcomm's headquarters city (San Diego, CA) is stated in the posting; the CBSA reflects that inference.
The posting does not specify remote eligibility; remote is set to false by default.
Read the full posting
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