ZipRecruiter

Log In

1

Applied Math Degree Jobs in Seattle, WA (NOW HIRING)

Grid

Applied Scientist

Seattle, WA

$120K - $140K/yr

This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or ... Proven experience in applied machine learning, including a deep understanding of statistical ...

Grid

Applied Scientist

Seattle, WA

$120K - $140K/yr

This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or ... Proven experience in applied machine learning, including a deep understanding of statistical ...

Grid

Staff Applied Scientist

Seattle, WA

$150K - $220K/yr

This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or ... Proven experience in applied machine learning, including a deep understanding of statistical ...

Grid

Staff Applied Scientist

Seattle, WA · On-site

$150K - $220K/yr

This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or ... Proven experience in applied machine learning, including a deep understanding of statistical ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and ... BSc in Computer Science, Mathematics, or a similar field; a Master's degree is a plus Diversity At ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and ... BSc in Computer Science, Mathematics, or a similar field; a Master's degree is a plus Diversity At ...

next page

Showing results 1-20

All JobsApplied Math Degree JobsApplied Math Degree Jobs in Seattle, WA

Applied Math Degree information

See Seattle, WA salary details

$25.6K

$67K

$107.6K

How much do applied math degree jobs pay per year?

As of Aug 1, 2026, the average yearly pay for applied math degree in Seattle, WA is $66,996.00, 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 do applied mathematicians actually do?

Applied mathematicians use mathematical techniques and models to solve real-world problems across various industries such as engineering, finance, healthcare, and technology. They analyze data, develop algorithms, and create simulations to optimize processes, inform decision-making, and improve systems. Proficiency in programming, statistical analysis, and problem-solving are essential skills in this role.

Is applied math in demand?

Applied math degrees are in demand across industries such as finance, data analysis, engineering, and technology, where skills in modeling, statistics, and programming are valued. Professionals with this background often find opportunities in research, analytics, and technical roles that require quantitative problem-solving. The demand is expected to grow as data-driven decision-making becomes increasingly important in various sectors.

What can I do with a degree in applied maths?

A degree in applied mathematics prepares individuals for roles such as data analyst, operations researcher, financial analyst, or software developer. It involves skills in problem-solving, statistical analysis, and programming, often using tools like MATLAB, Python, or R, and can lead to careers in finance, technology, engineering, or research organizations.

What is the difference between Applied Math Degree vs Data Analyst?

AspectApplied Math DegreeData Analyst
Required CredentialsBachelor's in Applied Math or related fieldBachelor's in Statistics, Math, or related field
Work EnvironmentResearch, academia, finance, engineeringBusiness, finance, healthcare, tech companies
Employer & Industry UsageUniversities, research labs, industries needing quantitative analysisCorporations, consulting firms, government agencies

Applied Math degrees focus on mathematical modeling and problem-solving across various industries, often involving research and theoretical work. Data Analysts primarily interpret data to help organizations make informed decisions, using statistical tools and software. While both roles require strong math skills, Applied Math graduates often pursue research or specialized roles, whereas Data Analysts work directly with data to generate insights in business settings.

Is an applied math degree useful?

An applied math degree is useful for careers in data analysis, finance, engineering, and technology, as it provides strong problem-solving, analytical, and quantitative skills. Graduates often find opportunities in industries that require modeling, statistical analysis, and computational tools, making it a versatile degree for various technical roles.
What are popular job titles related to Applied Math Degree jobs in Seattle, WA? For Applied Math Degree jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Applied Math Degree jobs in Seattle, WA look for? The top searched job categories for Applied Math Degree jobs in Seattle, WA are:
Applied Math Degree jobs near you
Infographic showing various Applied Math Degree job openings in Seattle, WA as of July 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $66,996 per year, or $32.2 per hour.

Applied Scientist

Grid

Seattle, WA

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description

About us
Today's financial system is built to favor those with money. Grid's mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more.
 
Grid is a fast-growing team that's deeply passionate about making a difference in the lives of millions. We're solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office!
 
The role
We're adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with data. With access to multiple robust datasets and clear research objectives, you'll have a significant impact on Grid's progress as a business-as well as our users' happiness and success.
 
Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more.
 
The team
We're focused on serving our users and building a robust product and business above all else. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth.
 
As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice.
 
The tech stack
Our backend tech stack is based on Python, GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful applied science.
What you'll do
  • Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well as other relevant sources
  • Model Development: Develop and validate models that enable strategically relevant business objectives, such as enabling growth, mitigating fraud, controlling risk, etc.
  • Deployment & Iteration: Iterate on new and existing models based on feedback from team and real-world performance
  • Productionization: Collaborate with data engineers, product managers to help translate your work into production-grade, high scaled data products
  • Present Findings: Present your findings and communicate with members of the team with varying levels of technical depth
  • Foster DS @ Grid: Help build out our Applied Science and Machine Learning as a team and practice at Grid
What we're looking for:
  • Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning is required. We are currently not accepting applicants with bachelor or master's degrees in Business Analytics, Information Systems, or Data Science.
  • Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning, including a deep understanding of statistical inference and predictive modeling. Demonstrated practical experience with deep learning techniques, particularly transformer-based models.
  • Research to Implementation Proficiency: A strong track record of reading, understanding, and implementing research papers in machine learning or related fields.
  • Robust Technical Skills: Hands-on experience with Python (with libraries like PyTorch/TensorFlow) and SQL is essential.
  • Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products.
  • Curiosity and Optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it.
  • Technical Skills: Proficiency in the modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning and Time Series Analysis, Logistic Regression, Naive Bayes, Tree based Models (i.e., Random Forest).
  • Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence.
  • Domain Knowledge: Demonstrated experience or understanding of the financial industry, especially in the context of building and scaling FinTech products.
$120,000 - $140,000 a year
Benefits
Medical
Dental
Vision
401K
Life Insurance
 
Salary Range
$120,000 - $140,000 per year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply