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Mathematical Science Jobs in Minnesota (NOW HIRING)

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Mathematical Science information

See Minnesota salary details

$166.9K

$195.2K

$220.6K

How much do mathematical science jobs pay per year?

As of Jul 15, 2026, the average yearly pay for mathematical science in Minnesota is $195,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $181,100.00 and $209,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mathematical Scientist, and why are they important?

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 mathematical scientists?

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 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 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.

What does a mathematical scientist do?

A mathematical scientist conducts research and applies mathematical theories and models to solve complex problems in fields such as science, engineering, and technology. They analyze data, develop algorithms, and use tools like statistical software to support decision-making and innovation.

What careers are in science and mathematics?

Careers in science and mathematics include roles such as mathematician, statistician, data analyst, operations researcher, and scientific researcher. These jobs often require strong analytical skills, proficiency with mathematical tools and software, and a background in relevant fields like engineering, physics, or computer science.

What do mathematical sciences do?

Mathematical sciences involve developing and applying mathematical theories, models, and techniques to solve real-world problems across various fields such as engineering, finance, data analysis, and research. Professionals in this field often use tools like statistical software and programming languages to analyze data, create simulations, and support decision-making processes.

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 job categories do people searching Mathematical Science jobs in Minnesota look for? The top searched job categories for Mathematical Science jobs in Minnesota are:
What cities in Minnesota are hiring for Mathematical Science jobs? Cities in Minnesota with the most Mathematical Science job openings:
Infographic showing various Mathematical Science job openings in Minnesota as of July 2026, with employment types broken down into 66% Full Time, 33% Part Time, and 1% Nights. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $195,227 per year, or $93.9 per hour.
Literacy Coach (.5FTE)/ Math/Science Coach (.5FTE)

Literacy Coach (.5FTE)/ Math/Science Coach (.5FTE)

Noble Academy

Minneapolis, MN

$40K - $60K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

NOBLE ACADEMY DISTRICT #4171

LITERACY COACH / MATH & SCIENCE COACH

JOB DESCRIPTION

GENERAL PURPOSE

The Literacy Coach / Math & Science Coach serves in a dual instructional leadership role, supporting teachers in the implementation of high-quality literacy, mathematics, and science instruction. The coach works collaboratively with teachers and administrators to improve instructional practices, increase student achievement, support curriculum implementation, analyze student data, and facilitate professional learning aligned with the school's instructional initiatives.

MINIMUM QUALIFICATIONS

  • Current Minnesota teaching license required.
  • Minimum of three years successful teaching experience preferred.
  • Demonstrated expertise in literacy, mathematics, and/or science instruction.
  • Experience with instructional coaching, professional development, curriculum implementation, and data analysis preferred.

PROFESSIONAL RESPONSIBILITIES

Literacy Coach Responsibilities (0.5 FTE)

  • Provide instructional coaching and support to teachers in literacy instruction.
  • Support implementation of schoolwide literacy initiatives, curriculum, and instructional best practices.
  • Assist teachers in analyzing literacy assessment data to inform instructional decisions.
  • Model effective literacy instructional strategies and lessons.
  • Facilitate professional learning opportunities related to literacy instruction.
  • Support teachers in implementing evidence-based reading, writing, vocabulary, and comprehension practices.
  • Collaborate with administration to monitor literacy program effectiveness and student outcomes.

Math & Science Coach Responsibilities (0.5 FTE)

  • Provide instructional coaching and support to teachers in mathematics and science instruction.
  • Support implementation of schoolwide mathematics and science curriculum and instructional initiatives.
  • Assist teachers in analyzing assessment data to improve student achievement.
  • Model effective mathematics and science instructional strategies and lessons.
  • Facilitate professional learning opportunities related to mathematics and science instruction.
  • Support teachers in implementing rigorous, standards-based instruction and student engagement strategies.
  • Collaborate with administration to monitor program effectiveness and student outcomes.

Shared Responsibilities

  • Build positive and collaborative relationships with staff.
  • Support implementation of schoolwide instructional initiatives and improvement goals.
  • Participate in classroom observations and provide instructional feedback.
  • Assist teachers with lesson planning, differentiation, and instructional design.
  • Support data-driven decision-making through analysis of student achievement and assessment data.
  • Facilitate PLC discussions and professional learning activities.
  • Maintain confidentiality and professionalism in all interactions.
  • Other duties as assigned by the Superintendent and/or CEO.

KNOWLEDGE & SKILLS

  • Knowledge of literacy, mathematics, and science instructional practices.
  • Knowledge of curriculum implementation, assessment, and data analysis.
  • Understanding of adult learning theory and instructional coaching practices.
  • Skilled in oral and written communication.
  • Skilled in facilitating professional development and collaborative meetings.
  • Ability to establish and maintain effective working relationships with staff, students, and families.
  • Proficiency in educational technology and data systems.

POSITION INFORMATION

Salary: $40,000- $60,000 based on qualifications

Benefits: Medical, HSA, dental, vision, life & disability, accident & hospital insurance, virtual primary care clinic, retirement (TRA), supplemental retirement (403b) with district match, and PTO.

Please note that all employees are expected to understand their role as stated herein and understand that this list is not inclusive. All staff must follow through with responsibilities knowing that sometimes they will have to perform tasks assigned by the Superintendent and/or CEO that are not part of their job descriptions. Responsibilities are subject to change with or without notice.

Noble Academy is an equal opportunity employer. Employment consideration is made without regard to race, color, creed, gender, national origin, age, disability, marital status, veteran status, sexual orientation, or any other legally protected status.