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Data Science Boot Camp Jobs in Colorado (NOW HIRING)

Meade, MD | Stuttgart, Baden-Wurttemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI ... science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL ...

Data Engineer

Denver, CO

$120K - $160K/yr

Collaborate with engineers, architects, and data scientists to implement scalable solutions to ... API experience using FastAPI, Flask, Spring Boot or equivalent. * Understanding of elasticsearch ...

General Manager

CO · On-site

$38K - $55K/yr

Highly organized, proficient in data management, ability to prioritize and meet deadlines ... Whether you are a general manager, sales associate, barre or boot camp instructor, and/or a ...

Collaborate with engineers, architects, and data scientists to implement scalable solutions to ... API experience using FastAPI, Flask, Spring Boot or equivalent. * Understanding of elasticsearch ...

Java / Spring Developer

Aurora, CO · On-site

$52 - $67.25/hr

... Data Science, Systems Engineering, Web Development, Artificial Intelligence, etc. ALTERNATE ... Build and configure Spring Boot microservices * Design and implement RESTful APIs * Ensure software ...

Bachelor's degree in computer science , Engineering, Information Technology, Data Science, Applied ... Boot). * Experience building and consuming REST APIs and microservices. * Experience with ...

Associate Full Stack Engineer

Denver, CO · Remote

$75K - $100K/yr

Develop and maintain applications using Java, Spring Boot, and RESTful services. * Implement and ... Bachelor's degree in Computer Science or related field. * 1 year of experience in application ...

Senior Full Stack Engineer

Denver, CO · Remote

$130K - $185K/yr

Develop and maintain applications using Java, Spring Boot, and RESTful services. * Implement and ... Bachelor's degree in Computer Science or related field. * 10+ year of experience in application ...

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Data Science Boot Camp information

See Colorado salary details

$7

$39

$87

How much do data science boot camp jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data science boot camp in Colorado is $39.42, according to ZipRecruiter salary data. Most workers in this role earn between $17.20 and $58.61 per hour, depending on experience, location, and employer.

What is a Data Science Boot Camp?

A Data Science Boot Camp is an intensive, short-term training program designed to teach participants the foundational skills and practical tools needed to start a career in data science. These programs typically cover topics such as programming in Python or R, data analysis, machine learning, statistics, and data visualization. Unlike traditional degree programs, boot camps focus on hands-on projects and real-world applications to help students build a portfolio. Many boot camps also offer career support, including resume reviews and interview preparation. They are ideal for individuals looking to transition into data science or enhance their skill set quickly.

What is the difference between Data Science Boot Camp vs Data Analyst?

AspectData Science Boot CampData Analyst
CredentialsIntensive training, certificates, no formal degree requiredOften requires a bachelor's degree in related fields
Work EnvironmentProject-based, fast-paced learning environmentOffice setting, routine data reporting
Industry UsagePrepares for entry-level data roles, tech startups, consultingBusiness, finance, healthcare, government sectors

The Data Science Boot Camp provides intensive, short-term training focused on technical skills like coding, machine learning, and data manipulation, ideal for those seeking quick entry into data roles. Data Analysts typically have formal degrees and focus on interpreting data, creating reports, and supporting business decisions. Both roles are in demand across industries, but the Boot Camp is more geared toward rapid skill acquisition for tech-driven roles, while Data Analysts often have a broader educational background and focus on data interpretation.

What are the key skills and qualifications needed to thrive in a Data Science Boot Camp, and why are they important?

To thrive in a Data Science Boot Camp, you need a solid understanding of statistics, programming (typically Python or R), and basic data analysis concepts, often supported by a relevant degree or foundational coursework. Familiarity with tools like Jupyter Notebook, SQL, and libraries such as pandas, scikit-learn, and TensorFlow is commonly expected. Strong problem-solving skills, curiosity, and effective communication help participants collaborate and interpret data-driven insights. These skills and qualities are crucial for successfully mastering complex topics and transitioning to real-world data science roles.

What are some common challenges students face during a Data Science Boot Camp, and how can they overcome them?

Students in a Data Science Boot Camp often encounter challenges such as managing a fast-paced learning schedule, grasping complex concepts like machine learning algorithms, and effectively collaborating on group projects. To overcome these, it's important to stay organized, regularly review material, and actively participate in discussions and coding exercises. Building a support network with peers and seeking guidance from instructors can also help in navigating difficult topics and maintaining motivation throughout the program.
What are popular job titles related to Data Science Boot Camp jobs in Colorado? For Data Science Boot Camp jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Boot Camp jobs in Colorado look for? The top searched job categories for Data Science Boot Camp jobs in Colorado are:
What cities in Colorado are hiring for Data Science Boot Camp jobs? Cities in Colorado with the most Data Science Boot Camp job openings:
Data Scientist

Other

Posted 8 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 #: 1590

Job Title: Data Scientist

Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL

Clearance Level: Top Secret with the ability to obtain an SCI, Must Have Clearance to Start

Job Descripton
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
A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience
Required Skills
  • 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
  • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark
Preferred Skills
  • Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
  • 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.
  • Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
  • Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.
Working Conditions
Requires work onsite in a SCIF
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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