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Applied Math Jobs in Seattle, WA (NOW HIRING)

Ai2

Research Engineer, FlexOlmo

Seattle, WA · On-site

Required : • A bachelor's degree in Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise at building ML infrastructure. • ...

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 ...

Ai2

Research Engineer, Asta

Seattle, WA · On-site

Required : • A bachelor's degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise in building ML infrastructure. • ...

Ai2

Research Engineer, Asta

Seattle, WA · On-site

Required : • A bachelor's degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise in building ML infrastructure. • ...

Ai2

Research Engineer, Asta

Seattle, WA · On-site

Required : • A bachelor's degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise in building ML infrastructure. • ...

Ai2

Research Engineer, FlexOlmo

Seattle, WA · On-site

Required : • A bachelor's degree in Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise at building ML infrastructure. • ...

Lululemon

Staff AI/ML Applied Scientist

Seattle, WA · On-site

Core responsibilities As a Staff Applied AI/ML Scientist, you define, lead, and scale AI/ML ... Bachelor's degree in computer science, mathematics, or related field; Master's or PhD preferred * 9 ...

Opendoor

Applied Scientist AI/ML

Seattle, WA · On-site

$156K - $355K/yr

About the Role We're looking for an Applied Scientist ( ALL LEVELS ) to push the boundaries of ... Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative ...

Amazon

Applied Scientist II, Amazon Search

Seattle, WA · On-site

We are seeking a talented applied researcher to join the Whole Page Planning and Optimization (WPPO ... D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field ...

lululemon

Staff AI/ML Applied Scientist

Seattle, WA · On-site

... mathematics, or related field; Master's or PhD preferred 9-12 years of AI/ML research in industrial ... leading applied AI/ML solution delivery for highimpact business problems where solution ...

Adobe

Data Science Engineer

Seattle, WA

$130K - $156K/yr

Degree ina quantitative fieldlike statistics, economics, applied math, operations research or engineering preferred, or related work experience * Knowledge of Microsoft Office, specifically Power ...

Auger

Data Scientist - Supply Chain

Bellevue, WA · On-site

Required : • Master's degree in Data Science, Statistics, Applied Mathematics, or a related quantitative field; undergraduate degree in Engineering, Mathematics, Economics, or Computer Science. • ...

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All JobsApplied Math JobsApplied Math Jobs in Seattle, WA

Applied Math information

See Seattle, WA salary details

$25.7K

$67.2K

$108K

How much do applied math jobs pay per year?

As of Aug 7, 2026, the average yearly pay for applied math in Seattle, WA is $67,221.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $80,000.00 per year, depending on experience, location, and employer.

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 find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

What jobs can you get with applied math?

Applied math graduates can pursue careers such as data analyst, operations researcher, financial analyst, actuary, or software developer. These roles often require strong analytical skills, proficiency in programming languages like Python or R, and knowledge of statistical and mathematical modeling. Many positions are found in finance, technology, healthcare, and government sectors.

What is an applied mathematician?

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.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

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 careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

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 August 2026, with employment types broken down into 75% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $67,221 per year, or $32.3 per hour.

Principal Applied Scientist - Auction & Bidding

Microsoft

Redmond, WA • On-site

$188K - $304K/yr

Full-time

Re-posted 8 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

78th of 242 rated software companies

Job description

Overview
The Ads Monetization Algo team at Microsoft Advertising focuses on optimizing ad performance for all advertisers in our ecosystem by bidding on their behalf in real-time auctions across our marketplaces. We are also responsible for designing and optimizing the auctions for the long term. All of these works are done through algorithm development, optimization, and experimental analysis of advertiser strategies and auction mechanisms. In our team, applied scientists work together and utilize all sorts of platforms, techniques, and approaches, including but not limited to mathematical modeling and optimization, machine learning, optimal control, game theory, and general economics and operations research. We build and develop both online stacks as well as offline workflows to support our algorithms. At its core, our team utilizes signals of user and advertiser intent as well as auction characteristics to determine in real-time or near-real-time which ads can enter the auctions. Our work directly impacts 10+ billion dollars in revenue annually.
We are looking for a highly skilled applied scientist with development and management skills and a background in quantitative fields such as statistical machine learning, decision theory, operations research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, and optimal control. They will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making direct impacts on advertisers' experience and the ad marketplace's long-term health to collectively and continually increase the revenue for Microsoft Advertising.
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
  • Designing, implementing, and analyzing bidding strategies using techniques from optimization, control theory.
  • Designing, prototyping, and analyzing different auction mechanisms given specific product area.
  • Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.
  • Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers' return on investment.
  • Implementing methods for optimizing the marketplace at the large scale.
  • Developing models for causal reasoning using techniques from AI, ML, and statistics.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.

Preferred Qualifications:
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • 8+ years of experience developing and deploying live production systems, as part of a product team.
  • 3 Years of experience in Auto-Bidding or Auction Design.

#MicrosoftAI
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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.

What Microsoft employees say

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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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