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Applied Mathematician Jobs in Minnesota (NOW HIRING)

Galois, Inc.

Principal Scientist

Minneapolis, MN · On-site

D. (or equivalent) in Computer Science, Applied Mathematics, or a related field, with a track record of high-quality research (publications, patents, or open-source tools) in formal verification ...

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All JobsApplied Mathematician JobsApplied Mathematician Jobs in Minnesota

Applied Mathematician information

See Minnesota salary details

$26.9K

$55.6K

$59.3K

How much do applied mathematician jobs pay per year?

As of Aug 10, 2026, the average yearly pay for applied mathematician in Minnesota is $55,555.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $58,300.00 per year, depending on experience, location, and employer.

What types of projects do applied mathematicians typically work on within a multidisciplinary team?

Applied mathematicians often collaborate with professionals from engineering, computer science, data analytics, and physical sciences to solve complex real-world problems. Projects can range from developing predictive models for financial markets, optimizing supply chain logistics, to simulating physical systems in engineering or biology. The collaborative nature of the work requires strong communication skills and the ability to translate mathematical concepts for non-specialists. Regular meetings, brainstorming sessions, and iterative problem-solving are common aspects of the work environment.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, models, and computational techniques to solve practical problems in fields such as engineering, science, business, and industry. They often collaborate with experts from other disciplines to analyze data, develop algorithms, and create simulations or predictive models. Their work is crucial in areas like data analysis, optimization, risk assessment, and scientific research, helping to make informed decisions and advance technology.

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 analytical skills, a solid background in mathematics or a related field, and typically an advanced degree such as a master's or PhD. Familiarity with programming languages (such as Python, MATLAB, or R), numerical modeling tools, and statistical analysis software is often required. Excellent problem-solving, communication, and collaboration skills help differentiate top performers in this role. These skills and qualifications are crucial for developing practical mathematical solutions to real-world problems and effectively communicating findings to technical and non-technical stakeholders.

What is the difference between Applied Mathematician vs Data Scientist?

AspectApplied MathematicianData Scientist
Required CredentialsDegree in mathematics, applied math, or related fieldDegree in statistics, computer science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, finance, healthcare, consulting
Employer & Industry UsageResearch institutions, government agencies, industry R&DBusiness, tech firms, startups, analytics firms

Applied Mathematicians focus on developing mathematical models and solving complex problems using advanced mathematics, often in research or academic settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making in business environments. While both roles require strong analytical skills, Applied Mathematicians typically work on theoretical and algorithmic development, whereas Data Scientists focus on practical data analysis and visualization.

What are popular job titles related to Applied Mathematician jobs in MN? For Applied Mathematician jobs in MN, the most frequently searched job titles are:
Applied Mathematician jobs near you
Infographic showing various Applied Mathematician job openings in Minnesota as of August 2026, with employment types broken down into 64% Full Time, 24% Part Time, 6% Temporary, 3% Contract, and 3% Nights. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $55,555 per year, or $26.7 per hour.

Development Engineer/LEAD MACHINE LEARNING ENGINEER

UrBench

Minneapolis, MN • On-site

$65 - $70/hr

Contractor

Re-posted 9 hours ago

Job description

Local candidates only
Must have local project in recent/Local DL copy
Overall 7+ years of exp
Visa - OPT/CPT/H4 EAD/Gc EAD/L2 EAD/USC/GC only
Rate - $65-70/hr W2 + $7 referral, open for higher rate based on their exp.
Client - TARGET
Location - Minneapolis, MN - Hybrid 2 days onsite
Role - Development Engineer/LEAD MACHINE LEARNING ENGINEER
Duration - 6-12 months contract with long term extension
Must Have:
Kaftka
Machine Learning
Machine Learning Development
Python, Pyspark or Scala
SPARK
Nice to Have:
Java
AS A LEAD MACHINE LEARNING ENGINEER
About Us:
Join our global in-house Tech and Data Sciences team
As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on Target.com and the Target App. You will play a crucial role in designing, implementing, and optimizing production machine learning solutions. We will also expect you to understand best practice software design, participate in code reviews, and create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
Qualifications:
  • 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
  • MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
  • 5 plus years' experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design
  • Highly proficient programming in Python and either PySpark or Scala
  • Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn, and ONNX
  • Experience with one or more cloud ML services such as Vertex AI/Azure ML/Sagemaker
  • Experience using distributed training frameworks like Spark/Ray/TensorFlow Distribute
  • Experience with serving frameworks such as TorchServe/TensorFlow Serving/FastAPI
  • Good understanding of Big Data tech, specifically Kafka, Spark
  • Experience creating and maintaining CI/CD pipelines for automated model deployment and testing
  • Work in partnership with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale
  • Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
  • Self-driven and results oriented; able to meet tight timelines
  • Ability to collaborate effectively across global team
  • Experience in mentoring the junior team members ML skillset and career development
Nice to Have:
  • PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field
  • Proficiency in Java
  • This position will operate as a Hybrid/Flex for Your Day work arrangement based on ***'s needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the *** HQ location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by ***.
  • Onsite 1 day a week at minimum. Sometimes teams may require up to 3 days and full Core Weeks attendance.

UrBench is an equal opportunity employer and is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, status as a parent, disability, age, veteran status, or other characteristics as defined by federal, state or local laws.

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About UrBench

Sourced by ZipRecruiter

Nurturing Excellence in the USA Since 2000 Hello, fellow explorer! Welcome to UrBench, where American excellence and expertise have been thriving since 2000. Get ready for a journey beyond the ordinary, because we're not your typical recruitment and staffing company. We're more like the architects of achievement, the conductors of compatibility, and the champions of collaboration right here in the States. Our High Skilled Team Players UrBench's adept team forge success by linking talent and opportunities with integrity and innovation. They empower individuals and organizations, propelling our mission forward. Our Expertise & Skills to All Business Because we're not just another company – we're your backstage pass to success, deeply rooted in the heart of the USA. With us, you're not a client; you're a collaborator, a co-pilot, and a fellow visionary in the quest for greatness on American soil. From tech revolutions to industry shifts, we've been here, shaping the landscape and creating success stories. Let's embark on this journey together, crafting history, one exceptional partnership at a time.

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

Austin, TX, US

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