1

Applied Science Jobs in Oklahoma (NOW HIRING)

$13 - $17.50/hr

Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience ...

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Applied Mathematics Tutor

Tulsa, OK · Remote

$18 - $40/hr

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

next page

Showing results 1-20

Applied Science information

See Oklahoma salary details

$22.6K

$44.7K

$72.9K

How much do applied science jobs pay per year?

As of Jul 28, 2026, the average yearly pay for applied science in Oklahoma is $44,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $48,000.00 per year, depending on experience, location, and employer.

What is the career of applied science?

A career in applied science involves using scientific principles and research to develop practical solutions, products, or technologies across fields such as engineering, healthcare, or environmental science. Professionals in this field often work in laboratories, research facilities, or industry settings, utilizing skills in data analysis, experimentation, and technical tools. Advanced education and certifications may be required depending on the specialization.

What are some common challenges faced by professionals in Applied Science roles?

Professionals in Applied Science often encounter the challenge of translating complex data or scientific concepts into actionable business solutions that non-experts can understand and implement. Balancing rigorous scientific methodology with the practical constraints of project deadlines and stakeholder expectations is also common. Working cross-functionally with teams in engineering, product management, or business operations requires ongoing collaboration and clear communication. Successfully navigating these challenges helps ensure the impact and relevance of applied scientific work within an organization.

What is the job of an applied scientist?

An applied scientist conducts research to develop practical solutions by applying scientific principles and methods to real-world problems. They often work with data analysis, modeling, and experimentation, using tools like programming languages and laboratory equipment to innovate and improve products or processes.

What jobs can you do with applied science?

Applied science careers include roles such as research scientist, data analyst, quality control specialist, and product development engineer. These jobs often require strong problem-solving skills, knowledge of scientific methods, and proficiency with tools like laboratory equipment or data analysis software.

What are the key skills and qualifications needed to thrive in the Applied Science position, and why are they important?

To excel in Applied Science, a strong background in mathematics, statistics, computer science, and domain-specific scientific knowledge is essential, typically supported by a relevant advanced degree. Familiarity with data analysis tools (such as Python, R, MATLAB), machine learning frameworks, and experience with statistical modeling or experimental design are highly valued. Critical thinking, problem-solving abilities, and effective communication skills are important soft skills for translating scientific insights into practical solutions. These skills and qualities are crucial for driving innovation, collaboration, and the successful application of scientific methods to solve complex, real-world problems.

What can I do with applied science in university?

A degree in applied science prepares students for careers in research, development, and technical roles across industries such as healthcare, manufacturing, and technology. Graduates often work as engineers, lab technicians, or product developers, utilizing skills in problem-solving, data analysis, and technical tools. Certifications and hands-on experience can enhance job prospects in this field.

What is an Applied Science job?

An Applied Science job involves using scientific principles and methodologies to solve real-world problems in various industries, such as technology, healthcare, and engineering. Professionals in this field apply research, data analysis, and experimentation to develop practical solutions and improve processes. These roles often require collaboration with engineers, product teams, and business stakeholders to implement innovations effectively.

What are the most commonly searched types of Applied Science jobs in Oklahoma? The most popular types of Applied Science jobs in Oklahoma are:
What are popular job titles related to Applied Science jobs in Oklahoma? For Applied Science jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Applied Science jobs in Oklahoma look for? The top searched job categories for Applied Science jobs in Oklahoma are:
What cities in Oklahoma are hiring for Applied Science jobs? Cities in Oklahoma with the most Applied Science job openings:
Infographic showing various Applied Science job openings in Oklahoma as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,681 per year, or $21.5 per hour.

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Other

Posted 21 days ago


Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN