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Python Data Scientist Jobs in Colorado (NOW HIRING)

Data Scientist

Aurora, CO · On-site

$77K - $176K/yr

You Have: * 5+ years of experience using data science programming languages such as Python or R * 2+ years of experience with Amazon Web Services (AWS) * Experience creating ETL pipelines, including ...

You Have: * 5+ years of experience using data science programming languages such as Python or R * 2+ years of experience with Amazon Web Services ( AWS ) * Experience creating ETL pipelines ...

You Have: * 5+ years of experience using data science programming languages such as Python or R * 2+ years of experience with Amazon Web Services (AWS) * Experience creating ETL pipelines, including ...

We are looking for a Data Scientist skilled in Python and Jupyter Notebooks to develop and maintain data-driven solutions. In this role, you'll analyze complex datasets, build models, and create ...

New

Data Scientist

Aurora, CO · On-site +1

$77K - $176K/yr

You Have: * 5+ years of experience using data science programming languages such as Python or R * 2+ years of experience with Amazon Web Services (AWS) * Experience creating ETL pipelines, including ...

Data Scientist

Aurora, CO · On-site

$77K - $176K/yr

You Have: * 5+ years of experience using data science programming languages such as Python or R * 2+ years of experience with Amazon Web Services ( AWS ) * Experience creating ETL pipelines ...

Data Scientist 2

Aurora, CO · On-site

$120K - $140K/yr

We are looking for a Data Scientist skilled in Python and Jupyter Notebooks to develop and maintain data-driven solutions. In this role, you'll analyze complex datasets, build models, and create ...

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

Work with modern Python-based tooling in an Agile, mission-focused delivery environment. * Grow your skills alongside senior data scientists, engineers, and mission stakeholders. Responsibilities:

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

Work with modern Python-based tooling in an Agile, mission-focused delivery environment. Grow your skills alongside senior data scientists, engineers, and mission stakeholders. Responsibilities:

Cymertek Corporation is seeking a curious and innovative Data Scientist to join their team and help ... Required : • Bachelor's Degree • Proficiency in Python or R • Expertise in machine learning ...

Data Scientist

Colorado Springs, CO · On-site +1

$120K - $160K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: Yes - 25% of the time Minimum Clearance ... Demonstrated proficiency in programming languages such as Python, typescript, Java, and/or ...

Familiarity with at least one analytical or programming environment such as Python, R, Stata ... data-science tools or methods such as SQL, Git, Jupyter notebooks, statistical modeling, machine ...

New

They are seeking a talented Data Scientist to join their team and play a pivotal role in analyzing ... Required : • Bachelor's Degree • Proficiency in data manipulation tools (e.g., Python, R) • ...

Familiarity with at least one analytical or programming environment such as Python, R, Stata ... data-science tools or methods such as SQL, Git, Jupyter notebooks, statistical modeling, machine ...

Data Scientist

Aurora, CO · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Experience in the development of algorithms leveraging R, Python, or SQL or NoSQL * Experience with ...

Showing results 21-40

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 Sep 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.

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 Colorado?

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

What cities in Colorado are hiring for Python Data Scientist jobs?

Cities in Colorado with the most Python Data Scientist job openings:

Infographic showing various Python Data Scientist job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

Data Scientist

Aurora, CO • On-site

Absolute Business Solutions Corp.
51 - 200 employees

$80K - $250K/yr

Full-time

Retirement, PTO

Re-posted 3 days ago


Job description

Absolute Business Solutions Corp (ABSC) is not just another tech company. We're a community of innovators, engineers, analysts and business professionals working together with our customers to tackle the most complex challenges. For more than 20 years we've supported critical DoD, IC and Federal Civilian missions and global, multi-national corporations. We specialize in supporting our clients in the Intelligence, Technology, Defense, AI/ML, and Data Science fields. As we continue to grow at a rapid pace, we are seeking some amazing new professionals to join our team.
We are actively hiring a TS/SCI-cleared Data Scientist to work closely with our sister company/software Syntasa where you'll be leveraging a multitude of big data, ML and statistical methods to help our customers realize the potential of modern data science and data-driven approaches. You will be working from an end-to-end basis by building the data pipelines needed for your models, building/optimizing the models and enabling your data driven outputs to be leveraged by both stakeholders and downstream applications. We work across several public sector and commercial clients, thus allowing your data expertise to help facilitate positive outcomes across a broad range of sectors. This role is 100% on site in Herndon, VA; Springfield, VA; St. Louis, MO; or Aurora, CO with the possibility of hybrid work in the future (requirements driven).
Clearance Required for this role: TS/SCI eligibility with willingness/ability to obtain CI polygraph.
Requirements:
  • Bachelor's Degree with at least 2 years� experience in an analytical role as a data scientist, analyst or machine learning engineer. Will consider years� experience in lieu of degree.
  • An ability to work with data using SQL and tools for statistical analysis (eg. Python, R)
  • Solid knowledge of statistics and probability, with demonstrated experience applying these techniques to commercial use cases such as ML models and A/B tests
  • Demonstrated experience of developing, deploying and maintaining ML models and data pipelines within a commercial setting.
  • Demonstrated experience of translating business and/or project requirements into insights, models and data products that generated tangible business value.
  • An ability to work effectively in a team setting and familiarity with commercial collaboration tools such as JIRA and Confluence.
  • A strong communicator able to present data driven insights to non-technical stakeholders while also having fruitful conversations with engineering teams
  • Curiosity and attention to detail with regards to data quality, distributions, biases and governance.
  • An ability to work effectively within a fast paced and dynamic environment.
  • An awareness and keen interest in the latest trends / techniques within data, machine learning and AI.
  • Fluent in Python/Scala/R as well as SQL/NOSQL with demonstrable experience.
  • Experience with Apache Spark
  • or other Big Data tools like Apache Flink/MapReduce
  • Familiar with Big Data tools such as EMR/ Dataproc /Cloudera/Hortonworks
  • Familiar with orchestration tools such as Airflow/DBT/NiFi
  • Experience with LLM's and GPT models a plus.

Desired qualifications
  • Experience with cloud solution providers such as GCP, AWS and Azure
  • Prior experience building robustable and reusable code
  • Knowledge of NLP and Image processing
  • Prior experience with REST APIs
  • An understanding of version control, modularity and maintaining code within a production setting.
  • An understanding of the web analytics and digital marketing ecosystem (eg. Adobe, Salesforce, Google)
  • Prior experience working with DMPs and CDPs
  • Prior consulting experience

Salary is commensurate with experience. Salary range for this requisition is: $80k-$250k annual. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Who we are:
ABSC is a technology and services company that combines the agility of a small business with proven processes refined over more than two decades in business. We specialize in supporting public sector clients in the Intelligence, Defense, Health, and Safety areas. Our team stands ready to deliver the next generation of programs, personnel, and solutions to help advance our federal government customers� driving innovation, agility, and security across all mission areas.
Some of our benefits include:
  • Generous PTO plus 11 Federal Holidays
  • Retirement Planning � 401k Fully Vested with Match
  • Annual Health and Wellness Allowance � buy an Apple Watch, a treadmill, or hit the gym on us
  • Career Development � Annual Funds to spend on Education and Training
  • Volunteer Time Off � Annually, all employees can spend 8 hours directly supporting a charity of choice
  • Charitable Match � ABSC matches an employee's donation to a qualifying charity
  • Referral Program � We pay for internal and external referrals!
  • LOV Awards � Earn bonus awards throughout the year from our Living Our Values awards program

Apply to join our team today! We are always looking to grow our team - if you know someone who is seeking a new career opportunity, please share this job opening with them! ABSC offers generous external referral bonuses. You don't need to be an employee to benefit from our Referral Program!
*ABSC is a proud V3, Virginia Values Vets, member which recognizes our commitment to hiring Veterans. If you are a veteran, please be sure to include that in your application. Thank you! *
Equal Opportunity Employer, including veterans and individuals with disabilities.