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Applied Math Jobs in Tacoma, 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 ...

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

... 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 ...

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:

Lululemon

Applied AI/ML Scientist

Seattle, WA · On-site

Core responsibilities As an Applied AI/ML Scientist, you design, develop, test, and optimize AI/ML ... Bachelor's degree in computer science, machine learning, mathematics, or related field, Masters ...

Lululemon athletica

Applied AI/ML Scientist

Seattle, WA · On-site

Core responsibilities As an Applied AI/ML Scientist, you design, develop, test, and optimize AI/ML ... Bachelor's degree in computer science, machine learning, mathematics, or related field, Masters ...

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Showing results 21-40

All JobsApplied Math JobsApplied Math Jobs in Tacoma, WA

Applied Math information

See Tacoma, WA salary details

$24.2K

$63.2K

$101.5K

How much do applied math jobs pay per year?

As of Aug 7, 2026, the average yearly pay for applied math in Tacoma, WA is $63,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $75,200.00 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 Tacoma, WA? For Applied Math jobs in Tacoma, WA, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Tacoma, WA look for? The top searched job categories for Applied Math jobs in Tacoma, WA are:
What cities near Tacoma, WA are hiring for Applied Math jobs? Cities near Tacoma, WA with the most Applied Math job openings:
Applied Math jobs near you
Infographic showing various Applied Math job openings in Tacoma, WA as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $63,187 per year, or $30.4 per hour.

Staff AI/ML Applied Scientist

Lululemon

Seattle, WA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 28 days 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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