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Associates In Applied Science Jobs (NOW HIRING)

Grid

Applied Scientist

Seattle, WA

$120K - $140K/yr

Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors ...

Grid

Applied Scientist

Seattle, WA

$120K - $140K/yr

Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors ...

Garner Health

Director, Applied Science

New York, NY · On-site

$439K - $460K/yr

Which providers are driving poor outcomes in a given network? The quality of those answers is determined by the algorithms your team builds. This is not an Applied Science function charged with ...

Grid

Staff Applied Scientist

Seattle, WA

$150K - $220K/yr

Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors ...

Grid

Staff Applied Scientist

Seattle, WA

$150K - $220K/yr

Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors ...

Garner Health

Director, Applied Science

New York, NY · On-site

In just five years, our work has helped over 2.5 million people access higher-quality care and ... This is not an Applied Science function charged with advising the business; you will own the ...

Wizard

AI Applied Scientist

$225K - $280K/yr

The Role We're looking for an Applied Scientist to own how we measure, understand, and improve the ... Demonstrable improvements in LLM judge quality and eval coverage * Science leadership that informs ...

CrossnoKaye

Applied Science Talent Community

$39K - $53K/yr

Interested in working with the CrossnoKaye team but don't see an opening that aligns with your ... Our Applied Science team sits at the intersection of machine learning, optimization, and control ...

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All JobsAssociates In Applied Science Jobs

Associates In Applied Science information

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$24.5K

$48.4K

$79K

How much do associates in applied science jobs pay per year?

As of Aug 3, 2026, the average yearly pay for associates in applied science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What is the highest paid associate's degree?

Associates in Applied Science (AAS) degrees can lead to high-paying careers in fields like healthcare, technology, and engineering technology. Typically, specialized technical skills, certifications, and experience contribute to higher salaries for these roles, with some positions earning over $60,000 annually.

What careers can you get with applied science?

Associates in Applied Science degrees prepare graduates for careers in fields such as healthcare, engineering technology, computer support, manufacturing, and environmental technology. These roles often require technical skills, certifications, and familiarity with industry-specific tools and procedures.

What are the key skills and qualifications needed to thrive as an Applied Science Associate, and why are they important?

To succeed as an Applied Science Associate, you need a solid background in technical problem-solving, data analysis, and relevant scientific or engineering principles, usually supported by an associate degree in applied science or a related field. Familiarity with laboratory equipment, industry-specific software, and safety protocols is typically required. Strong attention to detail, teamwork, and effective communication are essential soft skills for excelling in this role. These competencies are crucial for ensuring accurate results, maintaining safety standards, and supporting efficient operations in technical and scientific environments.

Where can I work with an Associate in applied science?

An Associate in Applied Science (AAS) degree prepares graduates for technical, healthcare, or skilled trades roles in various industries such as manufacturing, healthcare, information technology, and engineering. Graduates often work in entry-level positions, technical support, or specialized roles that require hands-on skills and certifications, typically in settings like clinics, factories, or offices.

What is an Associate in Applied Science degree?

An Associate in Applied Science (AAS) degree is a two-year undergraduate program focused on equipping students with practical skills and specialized knowledge for a specific career field. Unlike more general associate degrees, such as the Associate of Arts (AA), AAS degrees are designed to prepare graduates to enter the workforce directly after graduation. Coursework typically includes hands-on training and technical instruction relevant to industries like healthcare, technology, or business. While some credits may transfer to a bachelor’s program, the primary goal is immediate employment.

What can I do with my AAS degree?

An Associate in Applied Science (AAS) degree prepares graduates for technical and skilled roles in fields such as healthcare, manufacturing, information technology, and applied sciences. It often leads to entry-level positions that require hands-on skills, and may also serve as a pathway to further education or certifications. Job opportunities typically involve practical work environments and may require specific technical training or licenses.

What types of entry-level roles are commonly available to graduates with an Associate in Applied Science (AAS) degree?

Graduates with an Associate in Applied Science (AAS) degree often find entry-level positions in technical, healthcare, and skilled trade fields, depending on their area of study. Common roles include medical laboratory technician, computer support specialist, dental hygienist, or automotive service technician. These positions typically involve hands-on work, collaboration with other professionals, and the opportunity to further specialize or advance with experience or additional certifications. Many workplaces also offer on-the-job training and support for continued professional development.

What is the difference between Associates In Applied Science vs Medical Assistant?

AspectAssociates In Applied ScienceMedical Assistant
CredentialsAssociate degree in applied scienceCertificate or diploma, sometimes an associate degree
Work EnvironmentVaries by field, often technical or healthcare settingsClinics, hospitals, medical offices
Industry UsageUsed across various technical and healthcare fieldsPrimarily healthcare and clinical settings
Job FocusTechnical skills, specialized trainingPatient care, administrative tasks

Associates In Applied Science degrees provide a broad technical education suitable for various industries, including healthcare. Medical Assistants typically hold certificates or diplomas and focus on clinical and administrative healthcare tasks. While both roles support healthcare operations, the Associates In Applied Science offers a more comprehensive technical background, whereas Medical Assistants are more directly involved in patient care and office duties.

More about Associates In Applied Science jobs
What cities are hiring for Associates In Applied Science jobs? Cities with the most Associates In Applied Science job openings:
What states have the most Associates In Applied Science jobs? States with the most job openings for Associates In Applied Science jobs include:
What job categories do people searching Associates In Applied Science jobs look for? The top searched job categories for Associates In Applied Science jobs are:
Associates In Applied Science jobs near you
Infographic showing various Associates In Applied Science job openings in the United States as of July 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.

Applied Scientist

Grid

Seattle, WA

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago

Job description

About us
Today's financial system is built to favor those with money. Grid's mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more.
 
Grid is a fast-growing team that's deeply passionate about making a difference in the lives of millions. We're solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office!
 
The role
We're adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with data. With access to multiple robust datasets and clear research objectives, you'll have a significant impact on Grid's progress as a business-as well as our users' happiness and success.
 
Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more.
 
The team
We're focused on serving our users and building a robust product and business above all else. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth.
 
As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice.
 
The tech stack
Our backend tech stack is based on Python, GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful applied science.
What you'll do
  • Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well as other relevant sources
  • Model Development: Develop and validate models that enable strategically relevant business objectives, such as enabling growth, mitigating fraud, controlling risk, etc.
  • Deployment & Iteration: Iterate on new and existing models based on feedback from team and real-world performance
  • Productionization: Collaborate with data engineers, product managers to help translate your work into production-grade, high scaled data products
  • Present Findings: Present your findings and communicate with members of the team with varying levels of technical depth
  • Foster DS @ Grid: Help build out our Applied Science and Machine Learning as a team and practice at Grid
What we're looking for:
  • Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning is required. We are currently not accepting applicants with bachelor or master's degrees in Business Analytics, Information Systems, or Data Science.
  • Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning, including a deep understanding of statistical inference and predictive modeling. Demonstrated practical experience with deep learning techniques, particularly transformer-based models.
  • Research to Implementation Proficiency: A strong track record of reading, understanding, and implementing research papers in machine learning or related fields.
  • Robust Technical Skills: Hands-on experience with Python (with libraries like PyTorch/TensorFlow) and SQL is essential.
  • Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products.
  • Curiosity and Optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it.
  • Technical Skills: Proficiency in the modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning and Time Series Analysis, Logistic Regression, Naive Bayes, Tree based Models (i.e., Random Forest).
  • Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence.
  • Domain Knowledge: Demonstrated experience or understanding of the financial industry, especially in the context of building and scaling FinTech products.
$120,000 - $140,000 a year
Benefits
Medical
Dental
Vision
401K
Life Insurance
 
Salary Range
$120,000 - $140,000 per year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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