ZipRecruiter

Log In

1

Freelance Data Science Training Jobs in Colorado

Department of Human Services

Data Scientist

Denver, CO · On-site

$76K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... training and experience that translates directly to gain employment. You will receive credit for ...

Cymertek

Data Scientist

Aurora, CO · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics ... Paid Training * No long, wordy reviews with tons of paperwork!!! * Referral bonus program with ...

Cymertek

Data Scientist

Aurora, CO · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Data Science, Computer Science, Statistics ... Paid Training * No long, wordy reviews with tons of paperwork!!! * Referral bonus program with ...

Agile Defense

Data Scientist

Colorado Springs, CO

... science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL ... Experience developing ML models from training to deployment using industry-standard tools and ...

US Department of Commerce

Data Scientist

Fort Collins, CO · On-site

$147K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... training and experience that translates directly to paid employment. You will receive credit for ...

previous pagenext page

Showing results 21-40

All JobsData Science Training JobsFreelance Data Science Training JobsFreelance Data Science Training Jobs in Colorado

Freelance Data Science Training information

What are popular job titles related to Freelance Data Science Training jobs in Colorado? For Freelance Data Science Training jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Freelance Data Science Training jobs in Colorado look for? The top searched job categories for Freelance Data Science Training jobs in Colorado are:
What cities in Colorado are hiring for Freelance Data Science Training jobs? Cities in Colorado with the most Freelance Data Science Training job openings:
Freelance Data Science Training jobs near you
Infographic showing various Freelance Data Science Training job openings in Colorado as of June 2026, with employment types broken down into 3% As Needed, 45% Full Time, 21% Part Time, 24% Contract, and 7% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Data Scientist

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Re-posted 29 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

Apply