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Python Data Scientist Jobs in Denver, CO (NOW HIRING)

Vizient, Inc.

Senior Data Scientist

Centennial, CO

$102K - $179K/yr

Proficiency in programming and analytical tools such as Python, R, SQL, SAS, MATLAB, Java, or similar technologies. Experience with end-to-end data science workflows, including data preparation ...

Vizient

Senior Data Scientist

Englewood, CO · On-site

$102K - $179K/yr

Proficiency in programming and analytical tools such as Python, R, SQL, SAS, MATLAB, Java, or similar technologies. * Experience with end-to-end data science workflows, including data preparation ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Aurora, CO · On-site

$77K - $176K/yr

Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of ... R, Python, or SQL/NoSQL * 2+ years of experience with Distributed data and computing tools ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Aurora, CO · On-site

$77K - $176K/yr

Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of ... R, Python, or SQL/NoSQL * 2+ years of experience with Distributed data and computing tools ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... R, Python, SQL, or NoSQL * 2+ years of experience with Distributed data and computing tools ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... R, Python, or SQL/NoSQL * 2+ years of experience with Distributed data and computing tools ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Aurora, CO · On-site

$77K - $176K/yr

Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of ... R, Python, SQL, or NoSQL * 2+ years of experience with Distributed data and computing tools ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Aurora, CO · On-site

$77K - $176K/yr

Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of ... R, Python, or SQL/NoSQL * 2+ years of experience with Distributed data and computing tools ...

bet365

Senior Data Scientist

Denver, CO · On-site

$135K - $150K/yr

Strong programming skills in Python and deep expertise in data science libraries such as, Scikit-learn, Pandas, NumPy, XGBoost. * Advanced proficiency in SQL, with hands-on experience querying and ...

Booz Allen Hamilton

Data Scientist, Mid

Aurora, CO

$77K - $176K/yr

Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of ... R, Python, or SQL/NoSQL * 2+ years of experience with Distributed data and computing tools ...

Booz Allen Hamilton

Data Scientist, Mid

Aurora, CO

$77K - $176K/yr

Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of ... R, Python, or SQL/NoSQL * 2+ years of experience with Distributed data and computing tools ...

Beehive Industries

Senior Data Scientist

Centennial, CO · On-site

... Python, SQL, statistical methods, machine learning, LLMs, optimization, and analytical software engineering practices. • Collaborate with data analysts, scientists, and business stakeholders to ...

Booz Allen Hamilton

Data Scientist, Mid

Aurora, CO

$77K - $176K/yr

Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of ... R, Python, or SQL/NoSQL * 2+ years of experience with Distributed data and computing tools ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... R, Python, or SQL/NoSQL * 2+ years of experience with Distributed data and computing tools ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... R, Python, or SQL/NoSQL * 2+ years of experience with Distributed data and computing tools ...

Booz Allen Hamilton

Data Scientist, Mid

Aurora, CO

$77K - $176K/yr

Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of ... R, Python, SQL, or NoSQL * 2+ years of experience with Distributed data and computing tools ...

CACI

Senior Data Scientist

Denver, CO · On-site

$82K - $172K/yr

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee ... Expert proficiency in Python (or R) for data manipulation, modeling, and analysis. Experience ...

CACI International, Inc.

Senior Data Scientist

Denver, CO · On-site

$82K - $172K/yr

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee ... Expert proficiency in Python (or R) for data manipulation, modeling, and analysis. * Experience ...

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Showing results 41-60

All JobsPython Data Scientist JobsPython Data Scientist Jobs in Denver, CO

Python Data Scientist information

See Denver, CO salary details

$38.5K

$125.9K

$201.5K

How much do python data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for python data scientist in Denver, CO is $125,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What is a Python data scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

What are some common challenges faced by Python data scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What are the key skills and qualifications needed to thrive as a Python data scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.

What are popular job titles related to Python Data Scientist jobs in Denver, CO?

For Python Data Scientist jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Python Data Scientist jobs in Denver, CO look for?

The top searched job categories for Python Data Scientist jobs in Denver, CO are:

Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Denver, CO as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $125,862 per year, or $60.5 per hour.

Senior Data Scientist

Denver, CO • On-site

R2 Technologies Corporation
See more jobs at R2 Technologies Corporationexternal

Full-time

Re-posted 4 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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