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Union Computer Science Jobs in Denver, CO (NOW HIRING)

Western Union

Staff Software Engineer

Denver, CO

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 ...

Western Union

Manager, People Analytics & AI

Denver, CO · On-site

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics ... Western Union will not sponsor applicants for work visas for this position. Work Shift HYBRID ...

SynergisticIT

Junior Java/C++ Developer - Remote

Denver, CO · On-site

$69K - $89K/yr

... Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of ... Computer Science grads with limited or no job experience Students who recently finished their ...

New

Waters Corporation

Support Programmer

Golden, CO · On-site

Bachelor's degree in Computer Science or a related field (or equivalent experience) * 1+ years of ... civil unions), military service, veteran status, pregnancy (including childbirth and related ...

CML Security

Controls Engineer/Programmer

Broomfield, CO · On-site

$22 - $27/hr

... Engineering, Computer Science or experience preferred · 2 Years of programming experience ... Union membership, CML apparel reimbursement and access to CML's Top Golf platinum membership. CML ...

Entarian

Software Engineer, Vertasyn Lead

Denver, CO · On-site

$145K - $170K/yr

Bachelor's degree in information technology, computer science, engineering, or related technical ... Satellite communication experience About Us Formed through the strategic union of Sev1Tech and ERT ...

Entarian

Software Engineer, Vertasyn Lead

Denver, CO · Hybrid

$145K - $170K/yr

Bachelor's degree in information technology, computer science, engineering, or related technical ... Satellite communication experience Formed through the strategic union of Sev1Tech and ERT, Entarian ...

Entarian

Software Development Lead

Denver, CO · On-site

$152K - $190K/yr

Bachelor's degree in Information technology, Computer science, Engineering, or related technical ... Satellite communication experience About Us Formed through the strategic union of Sev1Tech and ERT ...

New

Entarian

Software Engineer, Vertasyn Lead

Denver, CO · Hybrid

$145K - $170K/yr

Bachelor's degree in information technology, computer science, engineering, or related technical ... Satellite communication experience About Us Formed through the strategic union of Sev1Tech and ERT ...

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All JobsUnion Computer Science JobsUnion Computer Science Jobs in Denver, CO

Union Computer Science information

See Denver, CO salary details

$20.2K

$66.1K

$131.5K

How much do union computer science jobs pay per year?

As of Jul 16, 2026, the average yearly pay for union computer science in Denver, CO is $66,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,471.00 and $86,508.00 per year, depending on experience, location, and employer.

Is computer science dead due to AI?

Computer science remains a vital field for Union Computer Science professionals, as AI advances create new opportunities for software development, data analysis, and system design. While AI automates certain tasks, expertise in algorithms, programming, and system architecture continues to be in demand for developing and maintaining AI technologies and related systems.

What are 5 jobs you can get with computer science?

With a computer science degree, you can pursue roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.

Is CS a good career in 2030?

Computer Science (CS) remains a strong career choice in 2030 due to ongoing technological advancements, high demand for software developers, data analysts, and cybersecurity professionals. Success in CS often requires continuous learning of programming languages, tools, and certifications to stay current with industry trends.

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 is a Union Computer Science job?

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 jobs do most CS majors get?

Most computer science majors find employment as software developers, computer programmers, or systems analysts. They often work in roles involving coding, software design, and technical problem-solving, frequently using programming languages like Java, Python, or C++. Many also pursue positions in cybersecurity, data analysis, or network administration depending on their skills and interests.

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

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 the most commonly searched types of Computer Science jobs in Denver, CO? The most popular types of Computer Science jobs in Denver, CO are:
What are popular job titles related to Union Computer Science jobs in Denver, CO? For Union Computer Science jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Union Computer Science jobs in Denver, CO look for? The top searched job categories for Union Computer Science jobs in Denver, CO are:
What cities near Denver, CO are hiring for Union Computer Science jobs? Cities near Denver, CO with the most Union Computer Science job openings:
Union Computer Science jobs near you
Senior Data Scientist

Senior Data Scientist

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Re-posted 5 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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