1

From Home Applied Statistics Jobs in Virginia (NOW HIRING)

... applied statistics, machine learning, and algorithm development while collaborating with domain ... from geospatial analysis into data science or AI/ML-focused roles. • Experience in combining ...

Statistics Tutor

Norfolk, VA · Remote

$18 - $40/hr

... Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Statistics Tutor

Richmond, VA · Remote

$18 - $40/hr

... Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Statistics Tutor

Blacksburg, VA · Remote

$18 - $40/hr

... Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Statistics Tutor

Leesburg, VA · Remote

$18 - $40/hr

... Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Statistics Tutor

Salem, VA · Remote

$18 - $40/hr

... Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

... Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Statistics Tutor

Fairfax, VA · Remote

$18 - $40/hr

... Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Statistics Tutor

Alexandria, VA · Remote

$18 - $40/hr

... Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

... home Applied Behavior Analysis (ABA) to children and families in their local communities. The ... Apply Now Refer to a Friend Alternatively, you can apply to this job using your profile from Indeed ...

... Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

... home Applied Behavior Analysis (ABA) to children and families in their local communities. The ... Apply Now Refer to a Friend Alternatively, you can apply to this job using your profile from Indeed ...

next page

Showing results 1-20

From Home Applied Statistics information

What is a from home applied statistician?

'From Home Applied Statistics' jobs are remote positions where professionals use statistical techniques to analyze data, solve problems, and support decision-making for various organizations. These roles can include data analysis, statistical modeling, and interpreting quantitative research, all performed from a home office. Common employers include academic institutions, government agencies, and private companies in sectors like healthcare, finance, and technology. Strong skills in statistics, mathematics, and proficiency in statistical software such as R, SAS, or Python are typically required. Working remotely allows statisticians to collaborate with teams and clients virtually while maintaining a flexible work environment.

What are the key skills and qualifications needed to thrive as a remote applied statistician?

To thrive as a Remote Applied Statistician, you need a strong background in statistics, mathematics, and data analysis, typically supported by a relevant degree such as statistics, mathematics, or data science. Proficiency with statistical software (like R, SAS, or Python), data visualization tools, and sometimes certifications in analytics or data science are highly valued. Strong problem-solving, attention to detail, and effective communication skills set top performers apart in this field. These competencies are crucial for delivering accurate analyses, interpreting complex data, and effectively conveying insights in a remote work environment.

How does working remotely as an applied statistician impact collaboration with cross-functional teams?

Remote Applied Statisticians often collaborate with diverse teams such as data scientists, software engineers, and business analysts through virtual meetings and digital communication platforms. While this structure allows for flexibility and autonomy, it also requires proactive communication and clear documentation to ensure project alignment. Regular check-ins, shared dashboards, and collaborative tools become essential to keep everyone on the same page. Adapting to different time zones and working styles can be a challenge, but also offers the opportunity to work with a global team and broaden your professional network.

What jobs can you get with from home applied statistics?

Applied statisticians working from home can find roles such as data analyst, research analyst, statistical consultant, or remote data scientist. These jobs typically require skills in statistical software, data analysis, and communication, and may involve tasks like interpreting data, creating reports, and supporting decision-making remotely.

What are the most commonly searched types of Applied Statistics jobs in Virginia?

The most popular types of Applied Statistics jobs in Virginia are:

What cities in Virginia are hiring for From Home Applied Statistics jobs?

Cities in Virginia with the most From Home Applied Statistics job openings:

Infographic showing various From Home Applied Statistics job openings in Virginia as of June 2026, with employment types broken down into 72% Full Time, 23% Part Time, and 5% Contract. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution.

GEOINT Innovation Data Scientist - TS/SCI required

Leidos

Alexandria, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

80th of 500 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.

#GEOINTMISSION
#NSBA
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