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Python Data Scientist Jobs in Colorado (NOW HIRING)

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

We are seeking a Data Scientist to support our NLP project focused on accurate and automatic ... Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

We are seeking a Data Scientist to support our NLP project focused on accurate and automatic ... Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing ...

Agile Defense

Data Scientist

Colorado Springs, CO · On-site

Data Scientist Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg ... Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark ...

Programmers.io

Data Scientist in AI

Denver, CO · On-site

We need a Data Scientist with strong presentation skills and deep analytics expertise who can ... Key Requirements: • Advanced analytics and statistical modeling • Strong Python with ML/AI ...

Bet365

Senior Data Scientist

Denver, CO

$135K - $150K/yr

... 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 manipulating large ...

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data ...

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site

$94K - $158K/yr

Experience with exploratory data analysis and model prototyping, using languages such as Python and ... S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar ...

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data ...

USAA

Data Scientist Senior

Colorado Springs, CO · On-site +1

The Opportunity As a Senior Data Scientist, you will leverage advanced analytics, machine learning ... Python, R, and Snowflake. Experience within a large financial services, banking, insurance, or ...

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site +1

$94K - $158K/yr

Experience with exploratory data analysis and model prototyping, using languages such as Python and ... S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar ...

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site

$94K - $158K/yr

Experience with exploratory data analysis and model prototyping, using languages such as Python and ... S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar ...

USAA

Data Scientist Senior

Colorado Springs, CO · On-site +1

The Opportunity As a Senior Data Scientist, you will leverage advanced analytics, machine learning ... Python, R, and Snowflake. Experience within a large financial services, banking, insurance, or ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Colorado

Python Data Scientist information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do python data scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for python data scientist in Colorado is $129,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

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.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

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 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.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

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 are popular job titles related to Python Data Scientist jobs in Colorado? For Python Data Scientist jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Colorado look for? The top searched job categories for Python Data Scientist jobs in Colorado are:
What cities in Colorado are hiring for Python Data Scientist jobs? Cities in Colorado with the most Python Data Scientist job openings:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.
Data Scientist with Security Clearance

Data Scientist with Security Clearance

DeNOVO Solutions, LLC

Aurora, CO • On-site

Other

Re-posted 28 days ago

Job description

Senior Data Scientist (AI/ML) Location: Aurora, CO
Clearance: Active TS/SCI with CI Poly DeNOVO Solutions is seeking a highly skilled and innovative Senior Data Scientist with a passion for developing cutting-edge machine learning (ML) algorithms. In this role, you will have the exciting opportunity to contribute to the development of a state-of-the-art ML-based data classification system. Our system leverages a powerful combination of supervised and unsupervised ML algorithms to enhance signal geolocation identification. Required Skills / Experience: • BS in a STEM focused discipline with at least 10 years of hands-on experience in Data Science • Experience and familiarity with Data Science, Machine Learning, and modeling workflows • Experience architecting and training ML models; • Experience mapping machine learning solutions to customer problem sets • Expert competency of Python • Familiarity with data analysis packages/libraries (Pandas, SKLearn, R, MATLAB, SAS, MLFLOW etc.) • Experience and desire to work with a diverse team of developers and analyst Desired Skills: • Experience mapping machine learning solutions to customer problem sets • Intermediate competency of Java • Experience using JIRA and Confluence • Experience working on an Agile development team DeNOVO Solutions is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information, or any other protected characteristic under applicable law.

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