Scientist Jobs in Washington
Scientist jobs in Washington are actively in demand, with the state's research ecosystem concentrated in biotechnology, environmental science, aerospace, and public health across roles from research associate through principal scientist. Seattle, Bellevue, and the Tri-Cities area anchor most of the hiring, with established employers like Fred Hutchinson Cancer Center, the Pacific Northwest National Laboratory, and Boeing regularly bringing on scientists across disciplines. Computational biology, environmental chemistry, and materials science are among the most sought-after specialties in Washington's current market. Find a role that fits below and apply directly.
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Showing 5 of 169+ Scientist jobs
DESCRIPTION
Amazon Last Mile Strategic Planning is looking for Sr. Data Scientists, developing solutions to optimize our delivery network topology, strategically maximizing Customer Experience and minimizing cost to serve and increase speed.
You will partner with the Scientific community to help design optimization and strategy. You will also collaborate with technical teams developing automated tools for network flow and execution systems. You will work directly with business leadership and operational stakeholders to influence their strategy and gather inputs to solve problems.
To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, translating technical contents to business friendly narrative. Ability to influence across business functions at different levels, including your own team.
You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with data, science, business and technical teams.
Key job responsibilities
- Design and develop mathematical, statistical and optimization models to optimize Delivery Network Topology design..
- Manage several, high impact projects simultaneously
- Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize Delivery Network Topology
- Communicate data-driven insights and recommendations to diverse stakeholders through technical and/or business papers
- Leverage LLMs to improve explainability of optimization and drive engagement from volume planning, demand planning stakeholders
- Define measurement frameworks for optimization solutions where no prior art exists and own the scientific framework for ‘Topology Plans’ multi-contact journey
- Choose the right methods (statistical, causal, ML, LLM, hybrid) for each problem and justify trade-offs. Drive excellence in evaluation: ground-truth construction with Quality auditors, human audits, precision/recall, drift, calibration, bias, safety, and cost
- Design driver-analysis and bridging methods explaining KPI movement (WoW, MoM, YoY, vs OP2) across dimensions for "why"
- Partner with teams in productionizing; Own AWS tech stack compliancy (Shepherd risk, App Security red-certification, Kale, Legal, Threat Models, for scientific assets)
- Mentor team members; provide promotion assessments; contribute hiring at DS II and DS III. Represent LM Planning in the broader Amazon Data Science community
- Produce design and technical documentation
A day in the life
Review current solutions, assumptions and question the status quo to find improvements.
Drive technical partners adopt improvements, to increase coding velocity, accuracy, quality of scientific solutions. Research for reusable tools/techniques and translate adopting to
About the team
Last Mile is the final mile of Amazon purchase. We- LM Strategic Planning ‘design and plan the Delivery Station Network’. LM network continues to grow multi-fold in North America, AMET, Emerging Market countries, delivering better customer experience and speed to customers. This growth will help Amazon gain most of distribution network share, in every country across the world. LM Strategic Planning-Science Analytics & Automation provides foundational solutions for network expansion roadmap that looks a 1-5 years horizon.
BASIC QUALIFICATIONS
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
DESCRIPTION
Amazon Last Mile Strategic Planning is looking for Sr. Data Scientists, developing solutions to optimize our delivery network topology, strategically maximizing Customer Experience and minimizing cost to serve and increase speed.
You will partner with the Scientific community to help design optimization and strategy. You will also collaborate with technical teams developing automated tools for network flow and execution systems. You will work directly with business leadership and operational stakeholders to influence their strategy and gather inputs to solve problems.
To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, translating technical contents to business friendly narrative. Ability to influence across business functions at different levels, including your own team.
You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with data, science, business and technical teams.
Key job responsibilities
- Design and develop mathematical, statistical and optimization models to optimize Delivery Network Topology design..
- Manage several, high impact projects simultaneously
- Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize Delivery Network Topology
- Communicate data-driven insights and recommendations to diverse stakeholders through technical and/or business papers
- Leverage LLMs to improve explainability of optimization and drive engagement from volume planning, demand planning stakeholders
- Define measurement frameworks for optimization solutions where no prior art exists and own the scientific framework for ‘Topology Plans’ multi-contact journey
- Choose the right methods (statistical, causal, ML, LLM, hybrid) for each problem and justify trade-offs. Drive excellence in evaluation: ground-truth construction with Quality auditors, human audits, precision/recall, drift, calibration, bias, safety, and cost
- Design driver-analysis and bridging methods explaining KPI movement (WoW, MoM, YoY, vs OP2) across dimensions for "why"
- Partner with teams in productionizing; Own AWS tech stack compliancy (Shepherd risk, App Security red-certification, Kale, Legal, Threat Models, for scientific assets)
- Mentor team members; provide promotion assessments; contribute hiring at DS II and DS III. Represent LM Planning in the broader Amazon Data Science community
- Produce design and technical documentation
A day in the life
Review current solutions, assumptions and question the status quo to find improvements.
Drive technical partners adopt improvements, to increase coding velocity, accuracy, quality of scientific solutions. Research for reusable tools/techniques and translate adopting to
About the team
Last Mile is the final mile of Amazon purchase. We- LM Strategic Planning ‘design and plan the Delivery Station Network’. LM network continues to grow multi-fold in North America, AMET, Emerging Market countries, delivering better customer experience and speed to customers. This growth will help Amazon gain most of distribution network share, in every country across the world. LM Strategic Planning-Science Analytics & Automation provides foundational solutions for network expansion roadmap that looks a 1-5 years horizon.
BASIC QUALIFICATIONS
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
See All 169+ Scientist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Scientist JobsScientist Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Scientist Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon68
- Microsoft15
- TikTok7
- Amazon Web Services7
- ByteDance5
Top Industries Hiring
- Technology & Software
- Biotechnology & Pharmaceuticals
- Electronics & Hardware
- Consulting & Professional Services
What Washington Employers Look For
The qualifications that appear most often in scientist jobs across Washington.
- Bachelor's degree or higher in biology, chemistry, environmental science, or a closely related field
- Familiarity with Washington State Department of Ecology or Department of Health regulatory standards where applicable
- Hands-on laboratory or field research experience with documented methodology and data analysis
- Proficiency in statistical software such as R, Python, or SAS for experimental data interpretation
- Strong written and verbal communication skills for presenting findings to cross-functional teams
- Experience with Good Laboratory Practices and relevant safety compliance protocols
Scientist Jobs in Washington: Frequently Asked Questions
How do you become a scientist in Washington?
Most scientist roles in Washington require at minimum a bachelor's degree in a relevant field such as biology, chemistry, physics, or environmental science, with many research positions expecting a master's or doctorate. Washington does not issue a universal state license for scientists, but specific practice areas carry their own credentials: environmental scientists may need registration with the Washington State Department of Ecology, while laboratory roles in clinical settings often require CLIA compliance or certification through the American Society for Clinical Pathology.
Which companies hire scientists in Washington?
Employers hiring scientists in Washington right now include Amazon, Microsoft, and TikTok, based on current listings on Migrate Mate as of August 2026. Washington's strong concentration of biotech firms in the Seattle metro, federal research facilities in the Tri-Cities, and aerospace manufacturers like Boeing means demand cuts across multiple scientific disciplines throughout the year.
Which Washington cities have the most scientist jobs?
Seattle, Bellevue, and Redmond have the most scientist openings in Washington. Seattle and Bellevue dominate due to the region's dense cluster of biotech companies, university medical centers, and tech-adjacent research teams, while the Tri-Cities area around Richland and Kennewick draws significant demand from the Pacific Northwest National Laboratory and other Department of Energy contractors.
Are there remote scientist jobs in Washington?
Yes, but they're relatively uncommon. Most scientist roles involve hands-on laboratory work, fieldwork, or on-site equipment that cannot be performed remotely. About 38% of scientist openings tied to Washington are remote or hybrid as of August 2026, and those positions are most often in data science, bioinformatics, or regulatory and scientific writing roles where the work is primarily computational or documentation-based.
How can I get hired as a scientist in Washington with little or no experience?
The most realistic entry path is securing a research associate or laboratory technician role, which Washington employers routinely use as a gateway position for candidates without extensive independent research history. Fred Hutchinson Cancer Center, the University of Washington, and Washington State University all run undergraduate research programs and post-graduation associate roles designed for early-career candidates. Completing a relevant internship, earning an EIT credential in engineering sciences if applicable, or building a portfolio of documented research projects strengthens any application considerably.
Where can I find and apply to scientist jobs in Washington?
You can find and apply to scientist jobs in Washington on Migrate Mate, which lists current openings tied to Washington employers and research institutions. Search the listings for roles that match your specialty and experience level, then apply directly to the ones that fit.
See All 169+ Scientist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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