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

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 ...

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. • ...

lululemon

Staff AI/ML Applied Scientist

Seattle, WA · On-site

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

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 ...

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 ...

Xevo

(111) Software Development Engineer

Seattle, WA · On-site

It is designed for holders of bachelor degrees with experience in data science, computer science and applied mathematics. We have opportunities in Seattle and the Eastside. Basic Qualifications:

Xevo

(101) Software Development Manager

Kirkland, WA

$140K - $185K/yr

It is designed for holders of bachelor degrees with experience in data science, computer science and applied mathematics. We have opportunities in Seattle and the Eastside. Basic Qualifications:

Amazon

Applied Scientist II, Amazon Search

Seattle, WA · On-site

BASIC QUALIFICATIONS - PhD, or Master's degree and 4+ years of CS, CE, ML or related field ... D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field ...

Adobe

Data Science Engineer

Seattle, WA · On-site

$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 ...

Fusion Energy Base

Senior Plasma Data Scientist

Everett, WA · On-site

$100 - $130/hr

... degrees Celsius (9keV). We are now operating Polaris, our next prototype on the path to the world ... PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related ...

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Showing results 41-60

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

Applied Math Degree information

See Seattle, WA salary details

$25.7K

$67.2K

$108K

How much do applied math degree jobs pay per year?

As of Aug 10, 2026, the average yearly pay for applied math degree 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 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 applied math expertise often find opportunities in research, analytics, and data-driven roles, with employment prospects continuing to grow as data utilization expands.

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 employment in industries that require modeling, statistical analysis, and computational tools, making the degree versatile and valuable across many fields.

What jobs do you get with applied math degree?

An applied math degree can lead to careers such as data analyst, operations researcher, financial analyst, actuary, or software developer. These roles often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software or modeling tools. Job opportunities are available across industries including finance, technology, healthcare, and government agencies.
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:
What cities near Seattle, WA are hiring for Applied Math Degree jobs? Cities near Seattle, WA with the most Applied Math Degree job openings:
Applied Math Degree jobs near you
Infographic showing various Applied Math Degree job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $67,221 per year, or $32.3 per hour.

Staff AI/ML Applied Scientist

Lululemon

Seattle, WA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 14 hours ago

Lululemon Athletica rating

7.5

Company rating: 7.5 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

9th of 104 rated fashion retailers

Job description

Description & Requirements
Who we are
lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. That includes creating an equitable, inclusive and growth-focused environment for our people.
About this team
The Enterprise Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise tooperatewith intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon's vertically integrated retail ecosystem, embedding strong data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency.
Core responsibilities
As a Staff Applied AI/ML Scientist, you define, lead, and scale AI/ML solutions aligned to business outcomes. You provide technical leadership and direction, design the solution for problems with high system complexity and multiple components. Your solutions model enterprise standards and lifecycle practices and ensure solutions are scalable, reliable, and ethically applied. You lead complex initiatives across teams, influence technology decisions, and embed solution-oriented thinking and across AI/ML investments. You operate as a technical authority for applied AI/ML methodology and state-of-the-art, setting scientific direction for complex problem domains.
Example of work include:
  • Designing and deploying machine learning and predictive/generative AI models for demand forecasting, optimization, personalization and search, intelligent automation, and multimodal content creation and enrichment
  • Applying NLP, computer vision, multimodal, or time-series modeling techniques to enterprise-scale data sets that are a mix of structured and unstructured data
  • Establishing frameworks for productionizing AI solutions and how AI/ML model performance translates into business decisions.
  • Acting as a senior technical partner to product, engineering, and business leaders on AI feasibility, risk, and value realization across a multi-year roadmap
Select responsibilities include:
  • Establish AI/ML solution frameworks for how specific business domains apply AI/ML to business problems, and develop production-ready AI/ML models and solutions that deliver business value
  • Drive the technical design and delivery of AI/ML solutions for complex business problems, applying advanced techniques to deliver measurable business impact, through production-ready models that scale effectively
  • Guide best practices defining how the organization transforms data into intelligent systems through AI/ML, designing AI/ML pipelines in partnership with software engineering teams
  • Establish experimentation standards defining rigorous evaluation approaches, business impact measurement, and validation practices across organization
  • Drive business domain integration ensuring AI/ML solutions are informed by business context, stakeholder needs are met
Qualifications
  • Bachelor's degree in computer science, mathematics, or related field; Master's or PhD preferred
  • 9-12 years of AI/ML research in industrial/corporate setting, or equivale research experience, including educational experience (e.g., a PhD degree)
  • Demonstrated experience in technically leading applied AI/ML solution delivery for high-impact business problems where solution architecture, model choice, evaluation rigor, quality, and trade-off decisions materially affect outcomes
  • Experience designing complex AI/ML solutions with multiple models and components and deploying them to production
  • Experience guiding how the team evaluates and adopts emerging and state-of-the-art methods at scale for specific use-cases
  • Experience establishing domain-wide frameworks for AI/ML solution design and implementation including development standards, evaluation criteria, and responsible AI requirements adopted across teams.
  • Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML platforms and libraries, open-source toolkits, and creating reusable ML components
Must haves
  • Acknowledge the presence of choice in every moment and take personal responsibility for your life.
  • Possess an entrepreneurial spirit and continuously innovate to achievegreat results.
  • Communicate with honesty and kindness and createthe spacefor others to do the same.
  • Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
  • Foster connection by putting people first and building trusting relationships.
  • Integrate fun and joy as a way of being andworking,akadoesn'ttake yourself too seriously.
additional notes
Please note: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of employment visa at this time for this role.
compensation and benefits package
lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and teamperformance. Thetypical hiring range for this position is from$211,880-$278,090annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.
At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:
  • Extended health and dental benefits, and mental health plans
  • Paid time off
  • Savings and retirement plan matching
  • Generous employee discount
  • Fitness & yoga classes
  • Parenthood top-up
  • Extensive catalog of development course offerings
  • People networks, mentorship programs, and leadership series (to name a few)
Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.
workplace arrangement
In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.
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