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Union Computer Science Jobs in Colorado (NOW HIRING)

Western Union

Senior Application Architect

Denver, CO · On-site

Bachelor's in computer science or related fields with 8+ years of professional experience or master ... Western Union will not sponsor applicants for work visas for this position. Work Shift HYBRID ...

Triwill Group

Staff Applied AI/ML Scientist

Denver, CO · On-site

$158 - $237/hr

... unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems ... Bachelor's, Master's degree or higher in Computer Science, Machine Learning, or a related ...

Entarian

Network Administrator SME

Colorado Springs, CO · On-site

$110K - $160K/yr

Bachelor's degree in Computer Science (preferred) or IT related field * Minimum 5 years of ... Security+ or equivalent) About Us Formed through the strategic union of Sev1Tech and ERT, Entarian ...

Entarian

System Administrator SME

Colorado Springs, CO · On-site

$115K - $165K/yr

Bachelor's degree in computer science, software engineering, IT management, or related technical ... union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and ...

Entarian

Network Administrator SME

Colorado Springs, CO · On-site

$110K - $160K/yr

Bachelor's degree in Computer Science (preferred) or IT related field * Minimum 5 years of ... Security+ or equivalent) Formed through the strategic union of Sev1Tech and ERT, Entarian is a ...

Entarian

Network Administrator SME

Colorado Springs, CO · On-site

$110K - $160K/yr

Bachelor's degree in Computer Science (preferred) or IT related field * Minimum 5 years of ... Security+ or equivalent) About Us Formed through the strategic union of Sev1Tech and ERT, Entarian ...

Entarian

System Administrator SME

Colorado Springs, CO · On-site

$115K - $165K/yr

Bachelor's degree in computer science, software engineering, IT management, or related technical ... union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and ...

Entarian

Network Administrator SME

Colorado Springs, CO · On-site

$110K - $160K/yr

Bachelor's degree in Computer Science (preferred) or IT related field * Minimum 5 years of ... Security+ or equivalent) About Us Formed through the strategic union of Sev1Tech and ERT, Entarian ...

Entarian

System Administrator SME

Colorado Springs, CO · On-site

$115K - $165K/yr

Bachelor's degree in computer science, software engineering, IT management, or related technical ... Familiar with other virtualization protocols and cloud computing Formed through the strategic union ...

Entarian

System Administrator SME

Colorado Springs, CO · On-site

$115K - $165K/yr

Bachelor's degree in computer science, software engineering, IT management, or related technical ... union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and ...

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All JobsUnion Computer Science JobsUnion Computer Science Jobs in Colorado

Union Computer Science information

See Colorado salary details

$18.8K

$61.5K

$122.4K

How much do union computer science jobs pay per year?

As of Aug 28, 2026, the average yearly pay for union computer science in Colorado is $61,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,653.00 and $80,484.00 per year, depending on experience, location, and employer.

What is a union computer science?

A Union Computer Science job refers to a position in the tech industry that falls under a labor union, meaning employees have collective bargaining rights for fair wages, benefits, and working conditions. These jobs can exist in various sectors, including government, education, and private industries where unions are established. Workers in these roles may benefit from job security, standardized pay scales, and grievance procedures. Unionization in computer science helps ensure fair treatment and advocate for workers' rights in an ever-evolving industry.

What are the key skills and qualifications needed to thrive in union computer science?

To excel in a Union Computer Science role, you need a solid background in computer science principles, programming languages, and an understanding of unionized workplace practices, usually demonstrated with a computer science degree or related experience. Familiarity with project management tools, collaborative platforms like Git, and relevant certifications such as CompTIA or Microsoft certifications is highly valued. Strong communication, teamwork, and negotiation skills are critical, especially when coordinating with both technical teams and union representatives. These skills are vital for efficiently developing technology solutions that align with union standards and foster collaborative, equitable environments.

What are some typical challenges faced by computer science professionals in unionized environments?

Computer science professionals in unionized settings often face unique challenges such as balancing organizational technology goals with collectively bargained work agreements and navigating structured processes for workflow changes or new initiatives. Adhering to union regulations can add extra layers of documentation and collaboration, especially when implementing new systems or managing cross-team projects. However, these environments also offer clear protocols for conflict resolution, opportunities for professional development, and strong support systems. Successfully adapting to these dynamics not only enhances project outcomes but also supports a positive and equitable work culture.

What are the top 3 jobs in computer science?

The top jobs in computer science include software developers, who design and build applications; data scientists, who analyze large datasets to extract insights; and cybersecurity analysts, who protect systems from threats. These roles often require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or security frameworks.

What jobs do most union computer science majors get?

Union computer science majors often pursue roles such as software developers, systems analysts, network administrators, and cybersecurity specialists. These positions typically require strong programming skills, knowledge of operating systems, and familiarity with tools like Java, Python, or Linux, often within corporate or government environments.

What are the most commonly searched types of Computer Science jobs in Colorado?

The most popular types of Computer Science jobs in Colorado are:

What are popular job titles related to Union Computer Science jobs in Colorado?

For Union Computer Science jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Union Computer Science jobs in Colorado look for?

The top searched job categories for Union Computer Science jobs in Colorado are:

What cities in Colorado are hiring for Union Computer Science jobs?

Cities in Colorado with the most Union Computer Science job openings:

Union Computer Science jobs near you
Infographic showing various Union Computer Science job openings in Colorado as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 100% In-person job distribution, with an average salary of $61,535 per year, or $29.6 per hour.

Senior Data Scientist

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Re-posted 19 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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