Senior Data Scientist Seattle Dexter - WA - US R1602674

Position: Senior Data Scientist Seattle 400 Dexter - WA - US + 3 more R1602674
## Senior Data Scientist Seattle 400 Dexter - WA - US
* Frame ambiguous business and scientific questions into measurable AI product hypotheses, success metrics, evaluation plans, and rapid experiments.
* Contribute to six-sprint, 12-week AI Accelerator agile cycles by testing hypotheses, validating AI product increments, and adapting analyses during two-week sprints.
* Build data science prototypes using Python, SQL, notebooks, APIs, and AWS-aligned data services.
* Support sandboxed data problem solving in non-production environments, enabling agents and analysts to branch, transform, test, and audit code-plus-data experiments before promotion.
* Evaluate and curate the analytical context agents and analysts rely on, including explicit instructions, memory, data tools, and curated meaning from source materials and recommend improvements based on measured impact on agent quality. Develop analytical features, embeddings, classifiers, ranking/scoring methods, recommendation logic, simulation approaches, or optimization methods as needed for product outcomes.
* Partner with Data Engineers to shape reliable datasets, retrieval corpora, metadata, and feature pipelines using S3, Athena, Postgre

SQL/RDS, vector databases, and knowledge graphs.
* Design and execute evaluations for LLM, RAG, and agentic workflows, with emphasis on context quality, knowledge curation, semantic evolution, and model quality.
* Build evaluation rubrics, golden datasets, structured output validation, error taxonomies, hallucination risk measurement, and SME review loops.
* Use tools such as Lang Graph, Lang Smith, Pydantic

AI, or similar frameworks to test agent behavior, retrieval quality, reasoning traces, and workflow reliability.
* Evaluate whether curated enterprise context improves agent quality, reliability, traceability, and decision usefulness compared with raw document retrieval.
* Assess model and agent outputs for quality, uncertainty, calibration, bias, hallucination risk, traceability, and fitness for intended use.
* Explore approved proprietary and open model options through enterprise channels and recommend model/task pairings based on evidence, risk, cost, and performance.
* Bachelor's or higher degree in Data Science, Statistics, Computer Science, Engineering, Bioinformatics, Computational Biology, Applied Mathematics, or a related scientific field.
* 5+ years of experience in data science, machine learning, applied AI, analytics, computational science, or related technology roles with increasing responsibility.
* Proficiency in Python, SQL, R and/or common data science libraries such as pandas, Num Py, scikit-learn, PyTorch, Tensor Flow, stats models, or similar tools and packages.
* Experience applying machine learning, statistics, NLP, information retrieval, experimentation, or decision science to real-world products or scientific/business workflows.
* Experience with LLM applications, RAG, agentic AI, prompt/evaluation design, structured outputs, context-quality evaluation, knowledge curation, and model quality assessment.
* Familiarity with AWS data and AI services such as S3, Athena, RDS/Postgre

SQL, Open Search, Sage Maker, Bedrock, or equivalent cloud tools.
* Experience with evaluation rubrics, hallucination risk measurement, causal inference, simulation, optimization, recommendation methods, and reusable evaluation harnesses.
* Familiarity with vector databases, knowledge graphs, embeddings, metadata strategy, and data quality practices.
* Familiarity with lightweight web prototyping tools such as Streamlit for sharing analyses and exploratory AI demos.
* Experience communicating quantitative findings, assumptions, limitations, and recommendations to technical and non-technical audiences.
* Effective use of coding agents or AI-assisted development tools such as Claude Code, Codex, Gemini CLI, Git Hub Copilot, or similar tools.
* Excitement for experimenting with the latest AI tools and technologies while applying scientific rigor to help discover, develop, and deliver innovative medicines.
* Curious and inquisitive mindset, with comfort working in agile pods, learning new domains quickly, and adapting analysis plans as evidence emerges.

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit
* ** Health Coverage:
** Medical, pharmacy, dental, and vision care.
* ** Wellbeing Support:
** Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
* ** Financial…