Senior AI and Data Scientist at Charles Schwab Inc.
Austin, TX
$150,000–$185,000
Jul 7, 2026
Austin, TX
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor role within a centralized AI and data science team at a large financial services firm. The work centers on designing and delivering end-to-end machine learning systems — from data ingestion and feature engineering through to production deployment and monitoring — with particular emphasis on NLP, LLM-based solutions, and recommender systems. The role suits an experienced data scientist who is equally comfortable with rigorous software engineering practices and translating business objectives into production-grade models.
Senior level · 8+ years · National · Master's required · 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
Rare in this occupation — lead with these, and say what you built with them.
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 (6)
The posting states 'Advanced degree (Master's or PhD)' as a hard requirement; Master's is the minimum, so the degree requirement is set to Masters.
The job location is not explicitly named in the posting text — only that the role is on-site at 'specified location(s)'. Schwab's primary technology hub is in the Dallas–Fort Worth area (Westlake, TX), but the CBSA could not be confirmed from this posting alone.
RAG is listed as an example of an LLM solution design pattern ('such as retrieval-augmented generation, agent workflows, or fine-tuning') within a required qualification; it is captured as a separate required skill because the JD gates on LLM solution design broadly, with RAG as the named exemplar.
Cloud platform experience appears only under Preferred Qualifications; alternatives populated with the three major cloud providers as common substitutes.
The posting mentions bonus/incentive eligibility but provides no salary figures, so compensation fields are left unpopulated.
The alt SOC (15-1252 Software Developers) reflects the strong software engineering emphasis — end-to-end ML system design, production deployments, MLOps — but the primary day-to-day work is clearly data science and ML modeling.
Read the full posting
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