ZipRecruiter

Log In

1

Freelance Python Data Analysis Jobs in Washington, DC

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data ... Experience with Python data science and visualization packages Clearance: Applicants selected will ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience analyzing structured and unstructured data * Experience with statistical and general ... Experience with Python data science and visualization packages Clearance : Applicants selected will ...

Booz Allen Hamilton

Data Scientist

Mclean, VA

$99K - $225K/yr

Experience analyzing structured and unstructured data * Experience with statistical and general ... Experience with Python data science and visualization packages Clearance : Applicants selected will ...

Booz Allen Hamilton

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience analyzing structured and unstructured data * Experience with statistical and general ... Experience with Python data science and visualization packages Clearance : Applicants selected will ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience analyzing structured and unstructured data * Experience with statistical and general ... Experience with Python data science and visualization packages Clearance : Applicants selected will ...

Booz Allen Hamilton

Data Scientist

Mclean, VA

$99K - $225K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data ... Experience with Python data science and visualization packages Clearance: Applicants selected will ...

Yext

Associate Data Scientist

Washington, DC · On-site

$124K - $207K/yr

Programming experience in Python * Data Analysis experience in SQL * Past experience with agentic programming tools such as Claude Code, Codex, AMP, Cursor, or Google Antigravity; familiarity with ...

next page

Showing results 1-20

All JobsFreelance Python Data Analysis JobsFreelance Python Data Analysis Jobs in Washington, DC

Freelance Python Data Analysis information

See Washington, DC salary details

$14

$66

$97

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

As of Jun 19, 2026, the average hourly pay for freelance python data analysis in Washington, DC is $66.39, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.43 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Washington, DC? The most popular types of Python Data Analysis jobs in Washington, DC are:
What are popular job titles related to Freelance Python Data Analysis jobs in Washington, DC? For Freelance Python Data Analysis jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Washington, DC look for? The top searched job categories for Freelance Python Data Analysis jobs in Washington, DC are:
Freelance Python Data Analysis jobs near you
GEOINT Innovation Data Scientist - TS/SCI required

GEOINT Innovation Data Scientist - TS/SCI required

Leidos

Alexandria, VA • On-site

Full-time

Posted 24 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

56th of 428 rated business services

Job description

The Leidos Geospatial Mission Solutions Portfolio is seeking a GEOINT Innovation Data Scientist to join our team in Alexandria, VA.
This is an exciting opportunity to elevate critical national-level missions through innovation, data-driven insight, and advanced analytic solutions.
As a GEOINT Innovation Data Scientist, you will help shape the next generation of geospatial capabilities by applying data science to real-world intelligence challenges, with a strong emphasis on machine learning (ML) and natural language processing (NLP) in support of NextGen FMI AI efforts. This position straddles the worlds of direct customer mission support and Leidos-driven innovation, blending hands-on problem solving with forward-looking solution development.
We're looking for someone who thrives at the intersection of geospatial analysis, Python-based development, and applied machine learning, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes. High-performing geospatial analysts with strong technical coursework or demonstrated experience in Python, machine learning, or NLP are encouraged to apply.
Staffing Requirement
The work requires staff to provide the customer with data science and automation support. Staff will collect, process, and perform data analysis and deliver data driven solutions to quantitatively improve multiple mission areas. They will design and develop solutions to complex problems using applied statistics, machine learning techniques, and algorithm development, while collaborating with teammates and customers to translate complex findings into mission-relevant insights. Any data management solutions created should take into consideration modernization objectives, including AI-enabled workflows, modernized database applications, and enterprise-level integration.
Primary Responsibilities
  • Provide GEOINT/Data Science expertise to assure continuity of data provision to analytical users.
  • Statistical analysis, machine learning modeling, and NLP-driven analysis of structured and unstructured data.
  • Automating repetitive data management and analytic workflows using Python.
  • Clean, convert, migrate, and organize structured and unstructured geospatial and text-based data.
  • Perform ad hoc analysis and present results in a clear manner.
  • Communicate complex quantitative and ML-driven analysis in a clear, precise, and actionable manner using storytelling/visualization. This may include data visualization of disparate sources via dashboards that can be understood by non-technical audiences.
  • Create/deploy/maintain tools to extract features, data, and metadata from a variety of sources, including rasters, vectors, text, and other source databases.
  • Write/maintain Python scripts for various environments and software including ArcGIS to improve efficiency of the production process and enable AI/ML workflows.
  • Deliver service solutions that integrate best practices to modernize current practices, including AI-enabled and NLP-driven analytics.
  • Perform data investigations on complex problems using applied statistics, machine learning, and algorithm development while collaborating with domain experts.
  • Ensure new workflows can be integrated seamlessly with modernized database applications and enterprise-level APIs.
  • Data visualization of production metrics of in-house created data.

Basic Requirements
  • Strong geospatial experience, including hands-on work with geospatial data, coordinate systems (latitude/longitude, UTM), projections, and data transformations.
  • 5 - 7 years of demonstrated programming experience, with strong proficiency in Python for data analysis, automation, and model development.
  • 3-5 years of experience in data science, including data collection, processing, exploitation, transformation services, modeling, and analytics.
  • Prior experience in customer footprint supporting analytic production.
  • Demonstrated experience applying machine learning techniques and/or natural language processing (NLP) to real-world problems.
  • Experience working with geospatial data in data science or analytic workflows.
  • Knowledge and experience using version control tools such as Git.
  • Knowledge and experience using GIS tools such as QGIS and/or ArcGIS.
  • Knowledge and experience using PostgreSQL, PostGIS, PgAdmin.
  • Knowledge and experience using APIs.
  • Knowledge and experience using applied statistics and building algorithms.
  • Ability to present technical findings clearly to non-technical stakeholders.
  • Willingness to provide sample code portfolios (e.g., GitHub or similar) demonstrating technical capabilities in Python, data science, ML, or NLP (no proprietary or classified material).
  • Requires a BA degree and 4 - 8+ years of prior relevant experience or Masters with 2 - 6+ years of prior relevant experience.

Preferred Requirements
  • Experience applying machine learning and/or NLP specifically to geospatial or intelligence problems.
  • Experience transitioning from geospatial analysis into data science or AI/ML-focused roles.
  • Experience in combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photography, and digital data formats.
  • Experience performing data analysis to identify trends, anomalies, and opportunities within complex datasets.
  • Knowledge of ESRI tools including ArcGIS/ArcPro and Arc Server.
  • Knowledge of database systems and architecture.
  • Ability writing SQL and NoSQL.
  • Understanding of cloud architecture, infrastructure, services (including geospatial-specific microservices), and DevOps.
  • Experience working with geospatial data in multi-user enterprise environments.
  • Experience analyzing existing production systems and recommending enhancements to enable AI/ML and data science capabilities.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
March 25, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $92,300.00 - $166,850.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. 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.

What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Leidos logo

About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

Social media

FacebookTwitter

View All Leidos Jobs

Apply