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Python Data Scientist Jobs in Colorado (NOW HIRING)

Cymertek

Data Scientist

Aurora, CO · On-site

Data Scientist LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in Python or R * Expertise in machine learning * Data visualization skills

AArete

Data Scientist

Denver, CO · On-site

Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows * Solid AI/ML background with practical ...

Cymertek

Data Scientist

Aurora, CO · On-site

Data Scientist LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in data manipulation tools (e.g., Python, R) * Experience with machine learning ...

ICR, Inc.

Data Scientist - Aurora, CO

Aurora, CO

$78K - $236K/yr

Proficient in Python, R, Matlab, Lua, or other data science-centric programming language. * Mathematical knowledge of optimization, multi-variate calculus, probability amp; statistics, linear algebra ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Colorado

Python Data Scientist information

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$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 - Level 3

Data Scientist - Level 3

Applied Network Solutions Inc.

Aurora, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Job Type
Full-time
Description
Who we are:
At Applied Network Solutions (ANS), we bring together some of the most curious minds in networking and cybersecurity. ANS was founded to disrupt the status quo. For over 20 years, our team provides expertise in network, system engineering and both offensive and defensive cybersecurity operations.
What we do:
Our vision is for a future in which talent and customers alike come to ANS because of our reputation for delivering technical excellence, solving our nation's toughest challenges and our ability to exceed expectations.
Why ANS:
At ANS we value the integrity of your work. We are looking for the right person to plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers. Together, let's ensure today is safe and tomorrow is smarter.
As a Data Scientist on our team, you will: Be trusted to design and execute machine learning models and applications, document analytic results and create visualizations for client stakeholders.
Requirements:
  • Active TS/SCI clearance with Polygraph
  • A Bachelor's degree and 10 years of relevant experience. A Master's degree and 8 years of relevant experience. A Doctorate's degree and 6 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
  • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
  • Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.

Desired Qualifications:
  • Working knowledge of Big Data, dataflows, and ML/AI familiarity
  • Working knowledge of Jupyter notebooks
  • Working knowledge of Spark

Responsibilities include, but are not limited to:
  • Working knowledge of statistics, programing and predictive modeling
  • Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
  • Design and implement machine learning, data science and advanced analytical algorithms
  • Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment

Requirements
Benefits:
ANS offers excellent compensation along with a generous benefits package to include:
  • Family Medical, Dental (w/ adult orthodontia) and Vision coverage
  • Pet Insurance
  • PTO (Paid Time Off)
  • Maternity/ Paternity Leave
  • Supplemental Military Leave Pay
  • 11 Paid Holidays
  • 401(k) plan with 6% Company Contribution
  • Generous Professional Development Program
  • 100% Employer paid Short- and Long-Term Disability
  • 100% Employer paid Life Insurance
  • Supplemental Whole Life Insurance
  • Lucrative Referral Bonus Program
  • Annual Allowance for ANS Swag
  • Potential for Paid Overtime
  • Flexible Work Schedules

Applied Network Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age or protected veteran status and will not be discriminated against on the basis of disability.
*Disclaimer: Salary is an open band for Indeed purposes and may not accurately represent the salary band for this position*

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