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Python Data Analysis Jobs in Silver Spring, MD (NOW HIRING)

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 ...

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

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 ...

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How much do python data analysis jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for python data analysis in Silver Spring, MD is $60.60, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $68.85 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Silver Spring, MD? The most popular types of Python Data Analysis jobs in Silver Spring, MD are:
What are popular job titles related to Python Data Analysis jobs in Silver Spring, MD? For Python Data Analysis jobs in Silver Spring, MD, the most frequently searched job titles are:
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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.

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About Leidos

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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

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