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Applied Math Jobs in Seattle, WA (NOW HIRING)

Microsoft

Senior Data & Applied Scientist

Redmond, WA · On-site

$160K - $261K/yr

Overview We are looking for a Senior Data & Applied Scientist to help teams make better product and ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...

Moloco

Senior Applied Scientist - Moloco Ads

Seattle, WA · On-site +1

$104K - $142K/yr

Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems * At least 4 years of engineering or applied science ...

Opendoor

Applied Scientist- Pricing

Seattle, WA · On-site

They are seeking an Applied Scientist to tackle complex quantitative challenges related to pricing ... and mathematical modeling techniques to problems where structure matters and pure black-box ...

Opendoor

Applied Scientist AI/ML

Seattle, WA · On-site

... mathematics, or a related quantitative field • Solid foundation in statistics and experimental design • Strong communication and collaboration skills -- you're comfortable working with cross ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

... math, probability, statistics, and algorithms • Ability to write robust code in Python, Java, and R • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like ...

Opendoor

Applied Scientist- Pricing

Seattle, WA · On-site

$156K - $335K/yr

About the Role We're looking for an Applied Scientist to work on some of the hardest quantitative ... Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research ...

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All JobsApplied Math JobsApplied Math Jobs in Seattle, WA

Applied Math information

See Seattle, WA salary details

$25.6K

$67K

$107.5K

How much do applied math jobs pay per year?

As of Jul 18, 2026, the average yearly pay for applied math in Seattle, WA is $66,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $79,700.00 per year, depending on experience, location, and employer.

What are the highest paying jobs in applied mathematics?

High-paying jobs in applied mathematics include roles such as quantitative analyst, data scientist, operations research analyst, and financial engineer, often requiring strong programming skills and advanced degrees. These positions typically offer salaries exceeding $100,000 annually, especially in finance, technology, and consulting industries.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often work with tools like programming languages and statistical software, and the degree provides a strong foundation for various technical roles.

What jobs can you get with an applied maths degree?

Applied mathematics graduates can pursue roles such as data analyst, operations researcher, financial analyst, actuary, or software developer. These jobs often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software or modeling tools in various industries like finance, technology, or healthcare.

What are applied math careers?

Applied math careers involve using mathematical methods and models to solve real-world problems across industries such as finance, engineering, data analysis, and technology. Professionals in this field often work with programming tools, statistical software, and data analysis techniques to develop solutions and support decision-making.

What are applied mathematicians?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What are the key skills and qualifications needed to thrive as an Applied Mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.
What are popular job titles related to Applied Math jobs in Seattle, WA? For Applied Math jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Seattle, WA look for? The top searched job categories for Applied Math jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Applied Math jobs? Cities near Seattle, WA with the most Applied Math job openings:
Applied Math jobs near you
Infographic showing various Applied Math job openings in Seattle, WA as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $66,958 per year, or $32.2 per hour.
Senior Data & Applied Scientist

Senior Data & Applied Scientist

Microsoft

Redmond, WA • On-site

$160K - $261K/yr

Full-time

Posted 5 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

68th of 209 rated software companies

Job description

Overview
We are looking for a Senior Data & Applied Scientist to help teams make better product and business decisions through rigorous experimentation, solid statistical thinking, and practical use of AI in everyday analytical work.
This is a hands-on role for someone who enjoys learning, questioning assumptions, and applying data science to real-world decisions at scale. This is not a "reporting" role. It is a decision-making role, where experimentation, judgment, and AI-enabled workflows come together to shape real outcomes.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Experimentation & A/B Testing
    • Design, analyze, and interpret A/B experiments end-to-end, from hypothesis formulation to final decision
    • Choose appropriate metrics, success criteria, and evaluation windows based on user behavior and business context.
    • Identify and diagnose common experimentation issues (e.g., bias, interference, power limitations, metric sensitivity).
    • Communicate experimental results clearly, including uncertainty, limitations, and trade-offs.
  • Decision Science & Insights
    • Go beyond "did it move the metric?" to explain why results happened and what decision should be made
    • Combine experimental evidence with observational analysis when appropriate
    • Partner closely with product, engineering, and design stakeholders to influence direction using data
  • AI-First Analytical Work
    • Use AI tools to accelerate analysis, exploration, and insight generation (e.g., faster hypothesis testing, code generation, narrative summaries).
    • Continuously evaluate where AI can improve experimentation workflows, without compromising rigor or correctness.
    • Develop good judgment about when to rely on automation vs. when deep statistical reasoning is required.
  • Learning & Craft Development
    • Stay current on experimentation methods, causal inference, and applied statistics.
    • Learn and adopt new tools, techniques, and best practices quickly.
    • Contribute to shared standards and documentation that improve how teams run experiments and make decisions.

Qualifications
Required Qualifications:
  • 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 and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

Preferred Qualifications:
  • 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 and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

#MicrosoftAI
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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