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Senior Deep Learning Data Scientist Jobs in Colorado

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

$100 - $160/hr

Data Scientist LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this position ... Knowledge of deep learning frameworks * Familiarity with cloud platforms * Experience with A/B ...

Cymertek

Data Scientist

Aurora, CO · On-site

Data Scientist LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Knowledge of deep learning frameworks * Familiarity with cloud platforms * Experience with A/B ...

Bet365

Senior Data Scientist

Denver, CO

As a Senior Data Scientist, you will accelerate our end-to-end machine learning lifecycle, building ... Exceptional programming skills in Python and deep expertise in data science libraries (Scikit-learn ...

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

Cymertek Corporation is seeking a curious and innovative Data Scientist to join their team and help ... of deep learning frameworks • Familiarity with cloud platforms • Experience with A/B testing ...

Sovrn

Senior/Staff Data Scientist

Boulder, CO · On-site

About the Role The Senior or Staff Data Scientist at Sovrn is a strategic technical leader who ... Deep technical proficiency across classical ML (supervised/unsupervised), reinforcement learning ...

Sovrn

Senior/Staff Data Scientist

Boulder, CO · On-site

About the Role The Senior or Staff Data Scientist at Sovrn is a strategic technical leader who ... Deep technical proficiency across classical ML (supervised/unsupervised), reinforcement learning ...

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

... deep learning techniques • Expertise in natural language processing (NLP) • Understanding of database management systems • Experience in deploying models to production • Strong problem ...

Booz Allen Hamilton

Data Scientist, Senior

Aurora, CO · On-site

$99 - $225/hr

... machine learning, and artifi cia l intelligence. In an increasingly connected world, massive ... Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ...

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Senior Deep Learning Data Scientist information

See Colorado salary details

$23.2K

$127.8K

$187.4K

How much do senior deep learning data scientist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for senior deep learning data scientist in Colorado is $127,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $150,900.00 per year, depending on experience, location, and employer.

What does a senior deep learning data scientist do?

A Senior Deep Learning Data Scientist designs, develops, and implements advanced deep learning models to solve complex problems in areas such as computer vision, natural language processing, and predictive analytics. They lead data-driven projects, collaborate with cross-functional teams, and mentor junior data scientists. In addition to building and optimizing neural networks, they are responsible for interpreting data, refining algorithms, and ensuring the solutions are scalable and robust for real-world applications.

What are the key skills and qualifications needed to thrive as a senior deep learning data scientist?

To thrive as a Senior Deep Learning Data Scientist, you need advanced knowledge in machine learning, deep learning frameworks, statistical analysis, and a relevant degree such as a master's or PhD in computer science or a related field. Expertise in programming languages like Python, experience with TensorFlow or PyTorch, and familiarity with cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, collaboration, and effective communication help you lead projects and translate complex findings to stakeholders. These skills are essential to drive innovation, build impactful models, and ensure projects deliver business value in a rapidly evolving field.

How do senior deep learning data scientists typically collaborate with cross-functional teams during a project?

Senior Deep Learning Data Scientists frequently work alongside data engineers, software developers, and domain experts to deliver end-to-end machine learning solutions. They are responsible for translating complex business problems into data-driven approaches, ensuring that models are aligned with project objectives. Regular meetings, code reviews, and knowledge-sharing sessions are common to synchronize efforts and integrate models into production systems smoothly. This collaboration is critical for maintaining model performance and scalability, and it also helps bridge the gap between technical and non-technical stakeholders.

What is the difference between Senior Deep Learning Data Scientist vs Machine Learning Engineer?

AspectSenior Deep Learning Data ScientistMachine Learning Engineer
Required CredentialsAdvanced degree in CS, Data Science, or related field; experience in deep learning frameworksDegree in CS, Software Engineering, or related; strong programming skills in Python, Java, or C++
Work EnvironmentResearch-focused, data analysis, model development, experimentationDeployment, system integration, scalable model production
Employer & Industry UsageTech companies, research labs, AI startupsTech firms, SaaS companies, AI product development

The main difference is that Senior Deep Learning Data Scientists focus on developing and researching deep learning models, while Machine Learning Engineers primarily implement, optimize, and deploy these models into production systems. Both roles require strong technical skills, but their day-to-day tasks and focus areas differ.

What cities in Colorado are hiring for Senior Deep Learning Data Scientist jobs?

Cities in Colorado with the most Senior Deep Learning Data Scientist job openings:

Senior Deep Learning Data Scientist jobs near you

Senior Data Scientist

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Re-posted 17 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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