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Associate Degree In Applied Science Jobs in Auburn, WA

Applied Scientist

Seattle, WA

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

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 ...

Staff Applied Scientist

Seattle, WA · On-site

$150K - $220K/yr

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 ...

Staff Applied Scientist

Seattle, WA · On-site

$150K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Senior Applied Scientist, Industrial Robotics Group

Seattle, WA · On-site

$104K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... in computer science, operations research, machine learning, industrial engineering, or a related quantitative field, or Master's degree plus 4+ years building ML models and algorithms in applied ...

Applied Science Manager, Healthcare AI

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Healthcare AI organization in AWS is seeking an Applied Science Manager to lead science and ... degree and 4+ years of building machine learning models or developing algorithms for business ...

Applied Science Manager, Prime Air

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role As an Applied Science Manager, you will lead a high-caliber team of scientists and ... PhD or Master's degree in Computer Science, Robotics, Operations Research, or a related field.

Applied Science Manager, Stores-Ads Science

Seattle, WA · On-site

$43K - $59K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our science shapes decisions both at the strategic level and in production systems. We are a team ... PhD, or Master's degree and 6+ years of applied research experience - Knowledge of ML, NLP ...

As a Manager for Applied Science at Adobe, you will develop novel data-centric solutions that ... D. in Computer Science, Data Science, Engineering, AI/ML, or a related field - or equivalent ...

Senior Applied Scientist - Moloco Ads

Seattle, WA · On-site +1

$104K - $142K/yr

Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems * At least 4 years of engineering or applied science ...

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Associate Degree In Applied Science information

See Auburn, WA salary details

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$39

$62

How much do associate degree in applied science jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for associate degree in applied science in Auburn, WA is $39.25, according to ZipRecruiter salary data. Most workers in this role earn between $30.48 and $44.66 per hour, depending on experience, location, and employer.

What entry-level positions are available to graduates with an associate degree in applied science, and how do these roles support career advancement?

Graduates with an Associate Degree in Applied Science often find entry-level positions in fields such as healthcare, information technology, engineering technology, or laboratory science. These roles typically involve hands-on technical work, supporting senior staff, operating specialized equipment, or assisting with data collection and analysis. Starting in these positions allows you to gain valuable practical experience, build professional networks, and demonstrate your skills, which can open doors to supervisory or specialized roles with additional training or certifications. Many employers also offer tuition assistance or on-the-job training, enabling further educational and career advancement.

What jobs can I do with an associate degree in applied science?

An associate degree in applied science prepares graduates for technical and entry-level roles such as laboratory technician, medical assistant, engineering technician, or industrial technician. These jobs often require hands-on skills, familiarity with industry tools, and sometimes certification or licensing, depending on the field.

What is the difference between Associate Degree In Applied Science vs Medical Laboratory Technician?

AspectAssociate Degree In Applied ScienceMedical Laboratory Technician
CredentialsTypically requires an associate degree in applied scienceRequires an associate degree in medical laboratory technology or similar
Work EnvironmentVaries across industries; labs, healthcare, manufacturingPrimarily in medical laboratories, hospitals, clinics
Employer & Industry UsageUsed in multiple industries including healthcare, manufacturing, ITSpecific to healthcare and medical labs

The Associate Degree In Applied Science is a versatile credential applicable across various industries, while a Medical Laboratory Technician focuses specifically on laboratory work in healthcare settings. Both roles require similar educational backgrounds but differ in industry focus and job responsibilities.

What does an associate degree in applied science mean?

An associate degree in applied science is a two-year post-secondary credential that prepares students for technical or practical careers by focusing on hands-on skills and industry-specific knowledge. It often includes coursework in areas like engineering technology, healthcare, or information technology and may lead to certifications or entry-level positions in related fields.

What skills and qualifications are needed to thrive as an associate degree in applied science graduate, and why are they important?

To thrive with an Associate Degree in Applied Science, you need a solid grasp of technical knowledge in your chosen field, foundational math and science skills, and a relevant associate degree. Familiarity with industry-specific tools, laboratory equipment, and software such as Microsoft Office or specialized applications is often expected. Strong problem-solving, teamwork, and communication skills help you stand out in diverse workplace settings. These abilities are crucial as they enable you to perform technical tasks efficiently, collaborate effectively, and adapt to evolving industry demands.

What is an associate degree in applied science?

An Associate Degree in Applied Science (AAS) is a two-year undergraduate degree designed to prepare students for immediate entry into the workforce in technical or vocational fields. The curriculum combines general education courses with specialized coursework focused on practical skills and hands-on training. Graduates of an AAS program are equipped for careers in areas such as healthcare, information technology, engineering technology, and more. This degree is ideal for those who want to start a career quickly without pursuing a four-year bachelor's degree. In some cases, credits earned may be transferred to a bachelor's program, but the AAS is primarily intended for direct employment.

Is an associate degree in applied science worth it?

An associate degree in applied science prepares graduates for technical roles in fields like healthcare, engineering technology, and manufacturing, often leading to entry-level positions with practical skills. It can be a cost-effective way to gain industry-specific knowledge and certifications, increasing employability and earning potential compared to high school diplomas alone.
Infographic showing various Associate Degree In Applied Science job openings in Auburn, WA as of August 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 100% In-person job distribution, with an average salary of $81,635 per year, or $39.2 per hour.

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 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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