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Mathematical Science Jobs in Seattle, WA (NOW HIRING)

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured ...

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured ...

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured ...

Science and Research Analyst

Silverdale, WA ยท On-site

$128K - $214K/yr

Apply complex mathematical and physics concepts to simulate the propagation and detection of ... Master of Science (M.S.) degree in Mechanical Engineering, Data Science, Data Analytics, Physics ...

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured ...

Showing results 41-60

Mathematical Science information

See Seattle, WA salary details

$200.4K

$234.3K

$264.8K

How much do mathematical science jobs pay per year?

As of Aug 26, 2026, the average yearly pay for mathematical science in Seattle, WA is $234,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $217,400.00 and $251,400.00 per year, depending on experience, location, and employer.

What is a mathematical scientist?

Mathematical scientists are professionals who use advanced mathematical theories, techniques, and models to solve practical problems in various fields such as engineering, business, science, and technology. They conduct research to develop new mathematical principles or to apply existing ones in innovative ways. Mathematical scientists may work as mathematicians, statisticians, data scientists, or analysts, often collaborating with other experts to analyze data, optimize processes, and make informed decisions. Their work is essential in industries ranging from finance and technology to healthcare and government.

What are the key skills and qualifications needed to thrive as a mathematical scientist?

To thrive as a Mathematical Scientist, you need strong analytical thinking, advanced mathematical knowledge, and typically at least a master's or Ph.D. in mathematics or a related field. Proficiency with statistical software, programming languages like Python or MATLAB, and mathematical modeling tools is often required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate and convey complex ideas clearly. These skills are vital for developing innovative solutions, conducting rigorous research, and translating mathematical concepts into real-world applications.

What are some common challenges faced by professionals working in mathematical science roles, and how can they be addressed?

Professionals in Mathematical Science often encounter challenges such as translating complex mathematical concepts into practical solutions and communicating technical findings to non-expert stakeholders. Additionally, projects may require collaboration across multidisciplinary teams, which can present difficulties in aligning different approaches and expectations. To address these challenges, it's helpful to develop strong communication skills, seek feedback from peers, and stay up-to-date with industry software tools. Participating in collaborative projects and attending professional workshops can also enhance your ability to work effectively within diverse teams.

What is the difference between Mathematical Science vs Data Analyst?

AspectMathematical ScienceData Analyst
Required CredentialsMathematical Science degree, strong math backgroundDegree in statistics, mathematics, or related field
Work EnvironmentResearch labs, academia, industry R&DBusiness, finance, healthcare, tech companies
Industry UsageResearch, academia, governmentBusiness intelligence, marketing, operations
Common Search/ComparisonMathematical Science vs Data Analyst

Mathematical Science focuses on advanced mathematical theories and research, often in academic or research settings. Data Analysts apply statistical and analytical skills to interpret data for business decisions. While both roles require strong math skills, Mathematical Science emphasizes theoretical understanding, whereas Data Analysts focus on practical data interpretation in industry contexts.

Is mathematical science a good degree?

Mathematical science is a strong degree for careers in data analysis, research, and academia, providing skills in problem-solving, quantitative reasoning, and programming. Graduates often find opportunities in finance, technology, and engineering fields, with job prospects improving with advanced degrees or certifications in related areas.

What can you do with a mathematical science degree?

A mathematical science degree prepares individuals for careers in data analysis, actuarial science, research, finance, and technology. Graduates often work as statisticians, data scientists, operations analysts, or in roles requiring strong problem-solving and quantitative skills, frequently using tools like programming languages and statistical software.

What are popular job titles related to Mathematical Science jobs in Seattle, WA?

For Mathematical Science jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Mathematical Science jobs in Seattle, WA look for?

The top searched job categories for Mathematical Science jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Mathematical Science jobs?

Cities near Seattle, WA with the most Mathematical Science job openings:

Infographic showing various Mathematical Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $234,334 per year, or $112.7 per hour.

Data Science PhD Intern

Docugami

Kirkland, WA โ€ข On-site

Internship

Re-posted 13 days ago


Job description

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems.
Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses.
We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs.
You will love this job if:
  • You love solving really challenging problems
  • You seek opportunities to see your research deployed in practice to solve real world problems
  • You enjoy working at the very cutting edge of R&D
  • You want to experience an early stage startup

What you'll be responsible for:
  • Researching and proposing solutions to the different science problems in an evolving environment
  • Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs
  • Working with the engineering team who will be responsible for integrating and deploying your work in production
  • Conducting regular internal science reviews

What we look for in a candidate:
  • Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math
  • Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines
  • Programming skills and familiarity of modern ML frameworks
  • Strong problem-solving and time management skills
  • Strong communication skills and capacity to report and disseminate results
  • Passion for scientific and technical excellence

Perks:
  • Competitive pay
  • Healthy snacks stipend
  • Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience
  • Vibrant and inclusive company culture with frequent team-building events

About Us:
Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact.
Learn more at www.docugami.com
We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.