Senior Data Scientist at Bristol Myers Squibb
Seattle, WA
$151,280–$183,319from the description
Jul 14, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A hands-on individual contributor role focused on turning ambiguous scientific and business problems into testable AI product hypotheses, experiments, and working solutions. Day-to-day work spans designing evaluation datasets, prototyping models, assessing LLM and agentic workflow quality, measuring product impact, and building reusable analytical patterns — all within an AWS-first environment using tools such as LangGraph, OpenSearch, and vector databases. The role suits an experienced data scientist comfortable bridging applied ML, retrieval systems, and decision science in fast-moving agile delivery cycles.
Senior level · 5+ years · Seattle-Tacoma-Bellevue, WA · 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
Roughly 15 people in the Seattle-Tacoma-Bellevue, WA area plausibly meet what this posting asks for (data scientists). range 5–25
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 $168,363 (middle half $111,131–$214,996). 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 lists multiple work locations with different salary bands. The Seattle, WA band ($151,280–$183,319) is used here as the primary location per the job record; NJ locations (Madison/Giralda and Princeton) carry a lower band of $137,530–$166,654, and Cambridge Crossing matches Seattle's band.
Python, SQL, and R are listed together with 'and/or' in the qualifications section. All three are treated as hard gates since they appear under the primary qualifications block, though in practice R may be optional given the Python-first framing of the role.
PyTorch and TensorFlow are listed as alternatives in the qualifications ('PyTorch, TensorFlow, … or similar tools'); TensorFlow is captured as an alternative to PyTorch.
AWS cloud services (S3, Athena, RDS/PostgreSQL, OpenSearch, SageMaker, Bedrock) are listed under qualifications with 'or equivalent cloud tools' — treated as hard gates on cloud data/AI capability, with the named AWS services as the primary options.
LangGraph, LangSmith, PydanticAI, Amazon Neptune, Amazon S3 Vectors, and Streamlit appear in the role description and stack narrative rather than in a dedicated required-qualifications block; they are marked preferred accordingly.
AI-assisted coding tools (Claude Code, Codex, Gemini CLI, GitHub Copilot) appear in the qualifications section but are framed as 'effective use of … or similar tools,' suggesting familiarity rather than a hard gate; however, given their placement in the qualifications block they are marked preferred as a judgment call given the 'or similar' open-ended framing.
Degree requirement is set to None because the JD states 'Bachelor's or higher degree … or a related scientific field' — a range of acceptable degrees rather than a single hard minimum, and the 'or higher' framing is inclusive rather than exclusive.
The role is described as 'site-by-design' (hybrid, at least 50% onsite), so remote is set to false.
Read the full posting
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