ZipRecruiter

Log In

1

Contract Python Data Analysis Jobs in Colorado Springs, CO

Saic

Data Scientist

Colorado Springs, CO · On-site

$120 - $160/hr

Demonstrated proficiency in programming languages such as Python, typescript, Java, and/or JavaScript. * Demonstrated on-the-job knowledge of providing data analytics solutions. * Hands‑on ...

SAIC

Data Scientist

Colorado Springs, CO · On-site +1

$120K - $160K/yr

Demonstrated proficiency in programming languages such as Python, typescript, Java, and/or JavaScript. * Demonstrated on-the-job knowledge of providing data analytics solutions. * Hands-on experience ...

Auria

Systems Analyst

Colorado Springs, CO

$130K - $145K/yr

... analysis, and data visualization to identify trends, patterns, and anomalies • Excellent ... Contract permitting, use Flex Time to work in a way that fits your life, not just your 8-to-5. * 11 ...

previous page

Showing results 41-60

All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Colorado Springs, CO

Contract Python Data Analysis information

See Colorado Springs, CO salary details

$13

$57

$85

How much do contract python data analysis jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for contract python data analysis 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 a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Colorado Springs, CO?

The most popular types of Python Data Analysis jobs in Colorado Springs, CO are:

What are popular job titles related to Contract Python Data Analysis jobs in Colorado Springs, CO?

For Contract Python Data Analysis jobs in Colorado Springs, CO, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in Colorado Springs, CO look for?

The top searched job categories for Contract Python Data Analysis jobs in Colorado Springs, CO are:

What cities near Colorado Springs, CO are hiring for Contract Python Data Analysis jobs?

Cities near Colorado Springs, CO with the most Contract Python Data Analysis job openings:

Contract Python Data Analysis jobs near you
Infographic showing various Contract Python Data Analysis job openings in Colorado Springs, CO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,163 per year, or $57.8 per hour.

Data Scientist - Junior/Journeyman

Systems Planning and Analysis

Colorado Springs, CO • On-site

Full-time

Medical, Life, Retirement

Posted 3 days ago

New

Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
The Space and Intelligence Division provides professional services to the US Space Force, Combatant Commands, Intelligence Community, and NASA. Our work includes enterprise architectural assessments, systems engineering and integration, test, planning and execution, cost estimating and analysis, acquisition support, and cybersecurity. We are trusted partners developing approaches and concepts to meet emerging high priority needs, assessing cutting-edge technologies, and supporting capabilities for our National Defense. Come join the fastest growing Division at Systems Planning and Analysis, Inc.!
The Space Systems Group (SSG), part of SPA's Space and Intelligence Division, provides timely and objective assessments and recommendations integrating technical, operational, programmatic, policy and business analysis. We focus on our key clients in the Space community including the US Space Force's Space Systems Command (USSF/SSC), one of the three designated Field Commands under USSF. We work tirelessly to provide integrated solutions based on information and communications throughout the chain of command. We provide clear and consistent analysis and recommendations which are aligned to strategic and leadership goals while balancing the ability to execute on time and on budget within the technical communities. Come join an organization responsible for being a key enabler of Spacepower!
SPA has a near-term need for a Data Scientist - Junior/Journeyman.
Responsibilities
The Junior/Journeyman Data Scientist supports the development, refinement, and validation of predictive sustainment capabilities. This role applies data analytics, reliability analysis, and model development to improve operational availability, identify degradation trends, and support sustainment decision-making. The Data Scientist works with engineering, logistics, and operations teams to leverage Government-furnished data, validated threat/architecture outputs, and SBIR-derived analytics tools to produce repeatable, data-driven sustainment insights.
Key Responsibilities
  • Develop, maintain, and refine predictive analytics models supporting sustainment of space mission systems.
  • Analyze operational data, maintenance records, telemetry streams, reliability metrics, and system performance trends to identify degradation or failure indicators.
  • Support the development of predictive maintenance models, reliability assessments, and CBM+ analytical products under senior guidance.
  • Prepare and validate data pipelines, feature engineering workflows, and model QA steps to ensure analytical accuracy and repeatability.
  • Assist with development of failure mode analyses, lifecycle performance studies, and sustainment risk assessments.
  • Apply supervised and unsupervised ML techniques-where permitted-to support anomaly detection, maintenance forecasting, and reliability trend identification.
  • Produce clear analytical summaries, technical findings, sustainment metrics, and decision-support products for program management and engineering reviews.
  • Maintain configuration-controlled analytical artifacts and contribute to sustainment baselines supporting TO Task 5 deliverables.
  • Coordinate with cross-functional teams to ensure data fidelity, traceability, and compliance with sustainment frameworks.

Qualifications
Required Qualifications
  • US Citizenship with TS/SCI clearance at time of application with ability to obtain and maintain SAP clearance
  • Bachelor's degree in Data Science, Engineering, Applied Mathematics, Computer Science, Analytics, or related field
  • Experience with Python, R, or similar analytics tools
  • Experience working with datasets, metrics, or basic statistical/ML techniques
  • Strong analytical skills, problem-solving abilities, and documentation proficiency
  • Ability to report to designated work location in Colorado Springs, up to full time, based on the needs of the customer

Desired Qualifications
  • Experience with reliability engineering concepts (FMEA, FRACAS, RCM, probability of failure models)
  • Exposure to predictive maintenance modeling, CBM+, or digital sustainment environments
  • Experience with analytics visualization tools (Power BI, Tableau)
  • Familiarity with AI/ML modeling, feature engineering, or anomaly detection workflows
  • Experience with defense systems, sustainment programs, or engineering teams
  • Relevant early-career certifications (e.g., CompTIA Data+, AWS Practitioner, beginner reliability certs)

Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Colorado, Pay Transparency Salary range: USD $100,000.00/Yr. - USD $150,000.00/Yr.

Apply