Senior Data Scientist at ServiceNow
Mountain View, CA
$161,300–$274,200from the description
Jul 9, 2026
Mountain View, CA
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor data science role focused on defining and governing product metrics, applying statistical and machine learning methods to measure the performance of AI/LLM systems, and building scalable analytical pipelines and self-serve tooling. The position also involves technical mentorship of junior data scientists and cross-functional collaboration with product and engineering teams. It suits an experienced data scientist with a background in LLM evaluation, distributed data infrastructure, and enterprise analytics.
Senior level · 5+ years · Remote · Master's required
“or” means any one of them counts — you don't need all of them.
Posted 5 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 8,300 people nationally plausibly meet what this posting asks for (data scientists). range 3,500–15,000
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 $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 (8)
The posting is for a Moveworks role (a ServiceNow acquisition) but is listed under ServiceNow's hiring infrastructure; the work location is not explicitly stated beyond a flexible/remote work persona framework — no specific city or CBSA could be determined.
Degree requirement is M.S. or Ph.D. with no 'or equivalent experience' escape clause, so Masters is set as the minimum hard requirement.
The '5+ years' figure is tied to the degree requirement ('M.S. or Ph.D. … plus 5+ years'), making it a role-level experience gate.
AWS EMR and S3 are listed as examples alongside Snowflake under a single cloud-platform requirement; AWS EMR is used as the primary skill name with S3 and Snowflake in alternatives, though all three are distinct tools — the JD treats them as interchangeable examples of 'cloud platforms'.
LLM evaluation methodology (dataset curation, benchmarking, regression detection) is listed as a hard requirement under the qualifications section.
Experience building evaluation pipelines for agentic/LLM systems, conversational analytics/NLP, self-serve analytics platforms, and AI productivity tooling (Claude, Cursor, Codex) all appear in a secondary block of 'Experience…' bullets that read as preferred/nice-to-have rather than primary gates — treated as preferred.
The role blends senior data science (ML/statistics, LLM evaluation) with data engineering (pipelines, orchestration, distributed systems), making the SOC classification a genuine judgment call between 15-2051 (Data Scientists) and 15-1243 (Database Architects); the ML/evaluation emphasis tips it to 15-2051.
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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