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Mathematical Science Jobs in Spokane, WA (NOW HIRING)

U.S. Navy

Engineering Duty Officer (Reserve)

Spokane, WA · On-site

$182K - $234K/yr

The Navy will rely on your sharp math and science skills to design, develop and deploy the world's fiercest ships and smartest integrated warfare systems. Roll up your sleeves, Sailor, because it ...

U.S. Navy

Engineering Duty Officer

Spokane, WA · On-site

The Navy will rely on your sharp math and science skills to design, develop and deploy the world's fiercest ships and smartest integrated warfare systems. Roll up your sleeves, Sailor, because it ...

U.S. Navy

Engineering Duty Officer (Reserve)

Spokane, WA · On-site

$182K - $234K/yr

The Navy will rely on your sharp math and science skills to design, develop and deploy the world's fiercest ships and smartest integrated warfare systems. Roll up your sleeves, Sailor, because it ...

U.S. Navy

Engineering Duty Officer

Spokane, WA · On-site

The Navy will rely on your sharp math and science skills to design, develop and deploy the world's fiercest ships and smartest integrated warfare systems. Roll up your sleeves, Sailor, because it ...

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All JobsMathematical Science JobsMathematical Science Jobs in Spokane, WA

Mathematical Science information

See Spokane, WA salary details

$174K

$203.4K

$229.9K

How much do mathematical science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for mathematical science in Spokane, WA is $203,443.00, according to ZipRecruiter salary data. Most workers in this role earn between $188,700.00 and $218,200.00 per year, depending on experience, location, and employer.

What is a mathematical scientist?

Mathematical scientists are professionals who use advanced mathematical theories, techniques, and models to solve practical problems in various fields such as engineering, business, science, and technology. They conduct research to develop new mathematical principles or to apply existing ones in innovative ways. Mathematical scientists may work as mathematicians, statisticians, data scientists, or analysts, often collaborating with other experts to analyze data, optimize processes, and make informed decisions. Their work is essential in industries ranging from finance and technology to healthcare and government.

What are the key skills and qualifications needed to thrive as a mathematical scientist?

To thrive as a Mathematical Scientist, you need strong analytical thinking, advanced mathematical knowledge, and typically at least a master's or Ph.D. in mathematics or a related field. Proficiency with statistical software, programming languages like Python or MATLAB, and mathematical modeling tools is often required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate and convey complex ideas clearly. These skills are vital for developing innovative solutions, conducting rigorous research, and translating mathematical concepts into real-world applications.

What are some common challenges faced by professionals working in mathematical science roles, and how can they be addressed?

Professionals in Mathematical Science often encounter challenges such as translating complex mathematical concepts into practical solutions and communicating technical findings to non-expert stakeholders. Additionally, projects may require collaboration across multidisciplinary teams, which can present difficulties in aligning different approaches and expectations. To address these challenges, it's helpful to develop strong communication skills, seek feedback from peers, and stay up-to-date with industry software tools. Participating in collaborative projects and attending professional workshops can also enhance your ability to work effectively within diverse teams.

What is the difference between Mathematical Science vs Data Analyst?

AspectMathematical ScienceData Analyst
Required CredentialsMathematical Science degree, strong math backgroundDegree in statistics, mathematics, or related field
Work EnvironmentResearch labs, academia, industry R&DBusiness, finance, healthcare, tech companies
Industry UsageResearch, academia, governmentBusiness intelligence, marketing, operations
Common Search/ComparisonMathematical Science vs Data Analyst

Mathematical Science focuses on advanced mathematical theories and research, often in academic or research settings. Data Analysts apply statistical and analytical skills to interpret data for business decisions. While both roles require strong math skills, Mathematical Science emphasizes theoretical understanding, whereas Data Analysts focus on practical data interpretation in industry contexts.

Is mathematical science a good degree?

Mathematical science is a strong degree for careers in data analysis, research, and academia, providing skills in problem-solving, quantitative reasoning, and programming. Graduates often find opportunities in finance, technology, and engineering fields, with job prospects improving with advanced degrees or certifications in related areas.

What can you do with a mathematical science degree?

A mathematical science degree prepares individuals for careers in data analysis, actuarial science, research, finance, and technology. Graduates often work as statisticians, data scientists, operations analysts, or in roles requiring strong problem-solving and quantitative skills, frequently using tools like programming languages and statistical software.

What are popular job titles related to Mathematical Science jobs in Spokane, WA?

For Mathematical Science jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Mathematical Science jobs in Spokane, WA look for?

The top searched job categories for Mathematical Science jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Mathematical Science jobs?

Cities near Spokane, WA with the most Mathematical Science job openings:

Mathematical Science jobs near you
Infographic showing various Mathematical Science job openings in Spokane, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $203,443 per year, or $97.8 per hour.

Data Scientist (Statistician) - Direct Hire

US Department of the Treasury

Spokane, WA • On-site

$125K/yr

Full-time

Posted 11 days ago

Key responsibilities

  • Identify and assess the validity and reliability of relevant data sources and retrieve structured and unstructured data for data science projects.

  • Clean, transform, combine, and integrate data from multiple sources to prepare data for analysis.

  • Apply data-mining process models and statistical methods to analyze data, evaluate results, and support program or business decisions.

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

312th of 856 rated public administrative organizations

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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