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Applied Math Jobs in Kansas (NOW HIRING)

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Differential Equations Tutor

Wichita, KS · Remote

$40/hr

Ability to explain solution techniques, equilibrium analysis, and stability while preparing students for engineering, physics, and applied mathematics applications. * Conceptual Teaching & Problem ...

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Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

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Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

Block

Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

Block

Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

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Showing results 21-40

All JobsApplied Math JobsApplied Math Jobs in Kansas

Applied Math information

See Kansas salary details

$20.1K

$52.5K

$84.3K

How much do applied math jobs pay per year?

As of Sep 11, 2026, the average yearly pay for applied math in Kansas is $52,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,100.00 and $62,400.00 per year, depending on experience, location, and employer.

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.

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 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 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.

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.

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 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 to do with a degree in applied math?

A degree in applied math prepares individuals for roles such as data analyst, operations researcher, financial analyst, or software developer. It involves skills in problem-solving, statistical analysis, and programming, often utilizing tools like MATLAB, Python, or R. Graduates can work in industries including finance, technology, engineering, and consulting.

What are popular job titles related to Applied Math jobs in Kansas?

For Applied Math jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Applied Math jobs in Kansas look for?

The top searched job categories for Applied Math jobs in Kansas are:

What cities in Kansas are hiring for Applied Math jobs?

Cities in Kansas with the most Applied Math job openings:

Applied Math jobs near you
Infographic showing various Applied Math job openings in Kansas as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $52,474 per year, or $25.2 per hour.

Data Scientist Specialist - Customer Service

Wichita, KS • On-site

Textron
Aerospace Product and Parts Manufacturing • 10K+ employees
Learn more about Textronexternal

Full-time

Re-posted 5 days ago

Key responsibilities

  • Support data exploration, hypothesis testing, and foundational predictive analytics.

  • Independently develop machine learning models for classification, regression, clustering, and time-series analysis.

  • Collaborate with analysts and engineers to prepare and clean data for modeling.

Textron rating

8.5

Company rating: 8.5 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

Job description

JOB SUMMARY:
Data Scientists drive strategic initiatives by performing advanced analytics, predictive modeling, and machine learning on complex internal and external datasets. They leverage advanced mathematics, statistics, and code-first tools to deliver high-impact, actionable insights. Unlike Data Analysts, Data Scientists focus on building and validating models, conducting experiments, and generating recommendations that directly inform business strategy and operational transformation.
We are seeking an experienced Data Scientist to join our small, specialized, and highly motivated team that is implementing predictive maintenance and connected aircraft solutions for a large fleet of Textron Aviation aircraft. In this senior position, you will merge large scale time-series aircraft sensor data, parts, and maintenance records using a variety of machine learning, deep learning, AI, and visualization methods. You will keenly focus on maximizing the operational availability of customer jet, turboprop, and piston aircraft along with efficient aircraft maintenance practices. As a key part of your role, you will mentor and provide technical leadership to junior data scientists, foster creativity, and champion innovative, cutting-edge data science methodologies across the organization.
At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy.
JOB RESPONSIBILITIES:
• Support data exploration, hypothesis testing, and foundational predictive analytics.
• Independently develop machine learning models for classification, regression, clustering, and time-series analysis using Python and relevant libraries.
• Collaborate with analysts and engineers to prepare and clean data for modeling.
• Document methodologies and contribute to reproducible research practices.
• Develop foundational understanding of the business domain, including aircraft OEM operations.
• Apply advanced statistical techniques to evaluate model performance and business impact.
• Work with large datasets using Python, SQL, and cloud-native platforms.
• Communicate findings through technical documentation and stakeholder presentations.
• Contribute to the development of analytics best practices and model governance.
• Lead development of predictive models and advanced analytics workflows.
• Mentor junior data scientists and contribute to team knowledge sharing.
• Design experiments and causal inference studies to support strategic initiatives.
• Collaborate with cross-functional teams to integrate models into business processes.
• Champion adherence to governance frameworks and global data science standards.
• Drive innovation in data science methodologies and tools.
• Influence enterprise-wide strategy through advanced modeling and simulation.
• Lead cross-domain projects involving deep learning, NLP, or advanced time-series forecasting.
• Advocate for ethical AI practices and model interpretability.
• Serve as a thought leader in data science governance, ensuring consistency and quality across teams.
EDUCATION/ EXPERIENCE:
• Bachelor's degree required in Applied Mathematics, Statistics, Computer Science, Data Science, or related technical field/coursework.
• Minimum 7 years of relevant experience required in data science, machine learning, artificial intelligence, predictive modeling, or advanced analytics.
• Master's or PhD degree in Applied Mathematics, Statistics, Computer Science, Data Science, or related field preferred.
• Aviation experience preferred.
QUALIFICATIONS:
  • Excellent written and verbal communication skills with the ability to explain complex technical concepts and analytical findings to both technical and non-technical audiences.
  • Practical application experience with Python (and associated libraries: pandas, scikit-learn, etc.), SQL, and statistical analysis.
  • Experience with data visualization tools (Matplotlib, Seaborn, Plotly, or similar).
  • Advanced proficiency with tree-based algorithms and dimensionality reduction.
  • Experience working with relational databases and developing complex data sets.
  • Experience with generative AI concepts, including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and comfortable with AI coding assistants.
  • Experience building, deploying, and managing machine learning solutions using cloud-native platforms (Azure ML, MLflow, AWS SageMaker, etc.), including MLOps practices such as version control, CI/CD, experiment tracking, model deployment, monitoring, and lifecycle management.
  • Commitment to continuous learning, adoption of emerging data science methodologies, and ethical, responsible AI practices.
  • Preferred experience in ML model training on multiple GPUs/CUDA.
  • Experience optimizing compute performance on large datasets using parallel processing and multi-core utilization techniques and packages (e.g. Polars, PySpark, Dask, etc.)
  • Experience with deep learning libraries (e.g. PyTorch, TensorFlow), transformer-based architectures, and advanced modeling techniques.
  • Strong linear algebra skills.
  • Proven experience leading data science projects and teams, mentoring junior data scientists, and driving strategic initiatives.
  • Strong analytical skills, research capabilities, and careful attention to detail.

Textron Aviation Inc. must comply with U.S. export control laws and regulations. If a position requires access to sensitive information controlled under these laws and regulations, a successful applicant must be eligible to meet any requirements to access controlled information.
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.

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About Textron

Sourced by ZipRecruiter

Textron Systems is part of Textron, a $14 billion, multi-industry company employing 35,000 talented makers, thinkers, creators and doers worldwide. We make things that fly, hover, zoom and launch. Things that move people. Protect soldiers. Power industries. We serve customers in industries spanning aerospace and defense, specialized vehicles, turf care and fuel systems.

Industry

Aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Providence, RI, US

Year founded

1923

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