1

Phd Math Jobs in Seattle, WA (NOW HIRING)

Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...

MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline * Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl * Strong ...

Senior Electrical Design Engineer

Seattle, WA ยท On-site

$118K - $159K/yr

... mathematics, physics or chemistry (e.g. Bachelor's) * Typically 9 or more years' related work experience or an equivalent combination of technical education * Experience (e.g. PhD+4 years' related ...

PhD from an accredited college/university with a major related to the task order, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences. Must have a strong ...

PhD from an accredited college/university with a major related to the task order, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences. Must have a strong ...

PhD degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or similar technical field * Knowledge of machine learning and data mining techniques in one or ...

Showing results 41-60

Phd Math information

See Seattle, WA salary details

$9

$31

$44

How much do phd math jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for phd math in Seattle, WA is $31.62, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $33.37 per hour, depending on experience, location, and employer.

What are PhD math graduates qualified to do after earning their degree?

PhD Math graduates are equipped for a range of careers that require advanced mathematical knowledge and research skills. Many pursue academic positions as professors or researchers at universities, while others work in industry roles such as data scientists, quantitative analysts, or mathematicians in government and private sectors. Their expertise is valuable in finance, technology, engineering, and consulting, where complex problem-solving and analytical abilities are essential. Additionally, some contribute to interdisciplinary research, policy analysis, or science communication.

What are the typical collaborative opportunities for someone in a PhD-level mathematics role?

PhD-level mathematicians often work within interdisciplinary teams, collaborating with professionals in fields like computer science, engineering, economics, and data science. These collaborations usually involve joint research projects, problem-solving sessions, or co-authoring academic papers. Mathematicians may also work closely with industry partners to apply theoretical models to real-world challenges, such as optimizing algorithms or analyzing large data sets. This teamwork fosters both professional growth and the opportunity to see the practical impact of mathematical research.

What are the key skills and qualifications needed to thrive as a PhD-level mathematician, and why are they important?

To thrive as a PhD-level Mathematician, you need advanced expertise in mathematical theory, analytical reasoning, and problem-solving, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and experience with academic research tools are commonly required. Strong communication, perseverance, and collaboration skills help stand out when presenting findings and working in interdisciplinary teams. These competencies are crucial for contributing original research, solving complex problems, and advancing mathematical knowledge in academic or industry settings.

What is the difference between Phd Math vs Data Scientist?

AspectPhd MathData Scientist
Required CredentialsPhD in Mathematics or related fieldBachelor's or Master's in CS, Stats, or Math; often prefers PhD
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search/ComparisonYesYes

While both roles require strong analytical skills, a Phd Math typically focuses on theoretical research and academic or research institution work. In contrast, a Data Scientist applies statistical and mathematical techniques to solve practical business problems in industry settings. The credentials overlap, but the work environment and application focus differ significantly.

Do math PhDs make good money?

Math PhDs often pursue careers in academia, research, data science, or finance, where salaries can vary widely. In industry roles such as quantitative analysis or data science, they tend to earn higher salaries, often exceeding $100,000 annually, especially with experience and specialized skills. However, academic positions may offer lower pay compared to private sector roles.

Is a PhD in math useful?

A PhD in math is highly valuable for careers in academia, research, data science, and quantitative analysis, where advanced analytical and problem-solving skills are essential. It can also open opportunities in industry sectors such as finance, technology, and engineering, often requiring expertise in mathematical modeling and programming tools like MATLAB or Python.

What is the salary of a PhD in math?

A PhD in math typically earns between $70,000 and $120,000 annually, depending on the industry, location, and experience. Academic positions such as university professors may have lower starting salaries but offer research and teaching opportunities, while industry roles in finance, data science, or technology tend to offer higher compensation.

What are popular job titles related to Phd Math jobs in Seattle, WA?

For Phd Math jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Phd Math jobs in Seattle, WA look for?

The top searched job categories for Phd Math jobs in Seattle, WA are:

Infographic showing various Phd Math job openings in Seattle, WA as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $65,775 per year, or $31.6 per hour.

Machine Learning / Data Scientist

Docugami

Kirkland, WA โ€ข On-site

Full-time

Medical, PTO

Re-posted 12 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.
Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for experienced researchers to work with our luminary science advisors 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 and impact millions of users
  • 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:
  • Proposing solutions to the different science problems in an evolving environment
  • Collaborating with engineering and product leadership to plan and 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 and educational sessions for the team
  • Working with our partners in academia to stay at the very forefront of R&D in our space

What we look for in a candidate:
  • More than five years of experience after completing PhD, or equivalent demonstrable industry experience
  • PhD (or equivalent experience) in areas like computer science, mathematics, statistics, electrical engineering, or related fields
  • Deep and up-to-date experience with some of the following: natural language processing (NLP), machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines
  • Programming skills and familiarity of modern ML frameworks
  • Research track demonstrated by top-level journal and conference publications
  • Strong problem-solving and self management skills
  • Passion for technical and scientific excellence
  • Strong communication skills and capacity to report and disseminate results

Perks:
  • Competitive salary with stock options
  • Healthcare plan
  • Competitive vacation and leave policy
  • Unlimited in-house healthy snacks & drinks
  • 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.