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Home Based Python Machine Learning Jobs in Colorado Springs, CO

Prescient Edge

Senior Data Scientist

Colorado Springs, CO · On-site

$150 - $190/hr

... Machine Learning, predictive modeling, statistical analysis, and hypothesis testing. * Maintain ... Advanced knowledge of Python and other relevant languages; relevant STEM degree and/or cyber ...

Prescient Edge

Senior Data Scientist

Colorado Springs, CO · On-site

$135K - $210K/yr

... Machine Learning, predictive modeling, statistical analysis, and hypothesis testing. * Maintain ... Advanced knowledge of Python and other relevant languages; relevant STEM degree and/or cyber ...

Apogee Engineering, LLC

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

... Machine Learning, predictive modeling, statistical analysis, and hypothesis testing. * Maintain ... Expert Python skills; heavy use of Jupyter Notebooks/Labs and common IDEs (e.g., VS Code/Spyder)

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All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in Colorado Springs, CO

Home Based Python Machine Learning information

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$13

$57

$85

How much do home based python machine learning jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for home based python machine learning in Colorado Springs, CO is $57.77, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $65.62 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are popular job titles related to Home Based Python Machine Learning jobs in Colorado Springs, CO? For Home Based Python Machine Learning jobs in Colorado Springs, CO, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Colorado Springs, CO look for? The top searched job categories for Home Based Python Machine Learning jobs in Colorado Springs, CO are:
Home Based Python Machine Learning jobs near you

Data Engineer - SPACECOM

Agile Defense

Colorado Springs, CO

$145K - $165K/yr

Full-time

Posted 12 days ago

Job description

About Agile Defense
 
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
 
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.

Requisition #: 1758
Job Title: Data Engineer - SPACECOM
Location: On-Site, Colorado Springs, CO 
Clearance Level: Top Secret,  Must Have Clearance to Start
Job Description
Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense's CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.
 
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
 
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.
Education and Background
Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred)., and 3+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.
Years of Experience
3+ years
 
Required Skills
  • Experience with data visualization and storytelling using tools such as Palantir's MSS Workshop and Slate applications
Preferred Skills
  • 4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development. 
  • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark). 
  • Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost). 
  • Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry). 
  • Strong understanding of data validation, model testing, and performance evaluation techniques. 
  • Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.
Working Conditions
Must be able to work onsite at a SCIF
$145,000 - $165,000 a year
Our Core Values
 
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. 
 
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
 
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
 
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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