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Associate Degree In Applied Science Jobs in Colorado

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

Agile Defense

Data Scientist

Colorado Springs, CO

... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ... in applied data science, machine learning engineering, or data pipeline development. * Proficient ...

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All JobsAssociate Degree In Applied Science JobsAssociate Degree In Applied Science Jobs in Colorado

Associate Degree In Applied Science information

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$19

$37

$60

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

As of Jul 14, 2026, the average hourly pay for associate degree in applied science in Colorado is $37.78, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $42.98 per hour, depending on experience, location, and employer.

What types of entry-level positions are commonly 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 can I do with a degree in applied science?

An associate degree in applied science prepares graduates for technical roles in fields such as healthcare, manufacturing, engineering technology, and information technology. It often involves hands-on training, lab work, and the use of industry-standard tools, enabling employment as technicians, technologists, or support specialists in various industries.

Is an Associate in applied science worth it?

An Associate Degree in Applied Science prepares individuals for technical and skilled roles in fields such as healthcare, technology, and manufacturing. It typically takes two years to complete and can lead to entry-level positions, often with opportunities for advancement and higher wages compared to high school diplomas.

What can an associate's degree in applied science get me?

An associate's degree in applied science prepares graduates for technical and entry-level roles in fields such as healthcare, manufacturing, engineering technology, and information technology. It provides practical skills, hands-on training, and often includes certifications that can enhance employability and job prospects in related industries.

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 are the key skills and qualifications needed to thrive as an Applied Science Associate Degree 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.

What careers can I go into with applied science?

An Associate Degree in Applied Science prepares individuals for careers in technical and practical fields such as healthcare, manufacturing, engineering technology, information technology, and laboratory work. Graduates often work as technicians, technologists, or support specialists, utilizing skills in problem-solving, equipment operation, and technical communication.
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Associate Degree In Applied Science jobs near you
Senior Data Scientist

Senior Data Scientist

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Re-posted 3 days ago

Job description

Overview:
Job Title: Senior Data Scientist - Knowledge Domain: Product (Job ID: 2099)
Location: Work From Home - USA, Denver, Colorado 80237 - look for locals
Duration: July 15, 2025 - February 27, 2026
Company: Western Union
Hire Type: Contractor (Contract Only)
Standard Hours per Week: 40
JOB DESCRIPTION
Senior Data Scientist - Knowledge Domain: Product
We are seeking a technically advanced and product-oriented Senior Data Scientist to lead the development of machine learning and deep learning solutions that power intelligent decision-making and innovative products. This role is ideal for someone with extensive experience in building, evaluating, and deploying ML and neural network models in production environments. You'll collaborate cross-functionally to create and scale real-world AI applications that have direct impact on users and business performance.
Role Responsibilities:
Design, build, and evaluate machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and time-series forecasting.
Apply deep learning techniques (e.g., CNNs, RNNs, LSTMs, Transformers) to solve complex, data-intensive problems.
Lead the development of ML products, from model prototyping through production deployment, performance monitoring, and continuous improvement.
Select appropriate architectures and hyperparameters, optimize model performance, and use proper evaluation metrics (e.g., AUC, F1, BLEU, IoU, perplexity) based on the use case.
Collaborate with product managers and engineers to translate business challenges into deployable solutions using AI/ML.
Design automated pipelines for data preprocessing, feature engineering, training, and inference (batch or real-time).
Evaluate model drift, monitor performance post-deployment, and implement retraining pipelines as part of a production MLOps system.
Mentor junior data scientists, contribute to code reviews, and lead technical discussions across the data science and engineering teams.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services formulating AI data solutions that allow us to leverage our data to know our customers better and target our resources for better market penetration and focused attention and education.
Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, Keras, or PyTorch.
Deep understanding of neural networks, model regularization, overfitting/underfitting prevention, and GPU-accelerated training.
Experience with customer data enrichments.
Proven track record of building, evaluating, and deploying machine learning models at scale in production environments.
Experience with cloud platforms (AWS/GCP/Azure), containerization, and model serving technologies.
Excellent communication skills, with the ability to present complex findings to both technical and non-technical stakeholders.
Hands-on experience with real-world applications of deep learning, such as recommendation engines, fraud detection, customer segmentation, document summarization, image recognition, or speech processing.
Familiarity with MLOps tools (e.g., MLflow, SageMaker, Airflow, Kubeflow).
Experience with CI/CD for ML, feature stores, and real-time inference systems.
Contributions to academic research, open-source ML projects, or ML/AI patents.
Skills:
Knowledge Domain

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