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Remote Statistician Jobs in Reston, VA (NOW HIRING)

Emmes

Project Leader - Biostatistician

Rockville, MD · On-site +1

Overview Project Leader - Biostatistician US Remote Emmes Group: Building a better future for us ... The PL-Stat develops and maintains a positive relationship with clients and other external ...

kgs

Librarian (REMOTE)

Chantilly, VA · Remote

The position is remote. This position requires the candidate to be able to obtain a Public Trust ... Retrieve and disseminate health statistics from federal, state, local, and private data sources.

kgs

Librarian (REMOTE)

Chantilly, VA · Remote

The position is remote. This position requires the candidate to be able to obtain a Public Trust ... Retrieve and disseminate health statistics from federal, state, local, and private data sources.

Koniag, Inc.

Librarian (REMOTE)

Chantilly, VA · On-site +1

The position is remote. This position requires the candidate to be able to obtain a Public Trust ... Retrieve and disseminate health statistics from federal, state, local, and private data sources.

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All JobsRemote Statistician JobsRemote Statistician Jobs in Reston, VA

Remote Statistician information

See Reston, VA salary details

$52.5K

$90.4K

$121.2K

How much do remote statistician jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote statistician in Reston, VA is $90,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $102,500.00 per year, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

A remote statistician can potentially earn $10,000 or more per month through freelance consulting, data analysis, or specialized projects, especially with advanced skills in statistical software and data modeling. High earnings often depend on experience, niche expertise, and the ability to secure clients or contracts independently.

What are the key skills and qualifications needed to thrive as a Remote Statistician, and why are they important?

To thrive as a Remote Statistician, you need a strong background in mathematics, statistical theory, and data analysis, typically supported by a degree in statistics or a related field. Proficiency with statistical software such as R, SAS, Python, or SPSS and familiarity with data visualization tools are commonly required. Excellent problem-solving, communication, and time management skills distinguish top performers in remote environments. These skills ensure accurate data interpretation, effective collaboration with distributed teams, and the delivery of valuable insights for data-driven decision-making.

What is the difference between Remote Statistician vs Remote Data Analyst?

AspectRemote StatisticianRemote Data Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; often certifications in statistical softwareDegree in Data Science, Analytics, or related; proficiency in data tools
Work EnvironmentRemote, often in research or consulting firmsRemote, in various industries including marketing, finance, healthcare
Employer & Industry UsageResearch institutions, healthcare, government agenciesBusiness, marketing, finance, tech companies

While both roles involve analyzing data, Remote Statisticians focus on complex statistical modeling and research, whereas Remote Data Analysts typically handle data cleaning, visualization, and reporting for business insights. The roles overlap in skills and remote work settings, but their primary focus and industry applications differ.

How to make 100,000 a year working from home?

A remote statistician can earn $100,000 annually by gaining advanced skills in statistical analysis, programming languages like R or Python, and data management. Building a strong portfolio, obtaining relevant certifications, and working for established organizations or consulting firms can help reach this income level while working from home.

Will AI replace statistician?

AI is transforming the role of statisticians by automating data analysis tasks and enhancing decision-making processes. However, statisticians are needed to interpret complex results, develop models, and ensure data quality, making their expertise essential alongside AI tools. The profession is evolving to include skills in machine learning and programming, but human judgment remains critical in applying statistical insights effectively.

How do remote statisticians typically collaborate with cross-functional teams while working offsite?

Remote statisticians often use digital collaboration tools such as video conferencing, shared data platforms, and project management software to stay connected with cross-functional teams. Regular virtual meetings and clear communication channels are established to discuss project goals, share insights, and address data-related challenges. Being proactive in communication and documentation helps ensure alignment with data scientists, researchers, and business stakeholders, despite working from different locations.

What Does a Remote Statistician Do?

As a remote statistician, you telecommute to perform a number of duties for a business, such as a tech company, marketing firm, or bank, or another type of organization, such as a nonprofit, academic research organization, or government agency. Your responsibilities are to collect and analyze data and statistics and review reports from your organization to ensure statistical accuracy for all publications or studies. Some statisticians also work with other researchers to develop surveys and experiment designs and develop methods for collecting data.

What are remote statisticians?

Remote statisticians are professionals who analyze data, interpret statistical results, and provide insights, all while working from a location outside of a traditional office setting. They use statistical software and programming languages to collect, organize, and interpret large datasets for organizations or research projects. Working remotely allows statisticians to collaborate with teams and clients from anywhere, often using digital communication tools and cloud-based platforms. This flexibility can enhance work-life balance and broaden job opportunities across industries such as healthcare, finance, government, and technology.

Can you work remotely as a statistician?

Yes, remote work is common for statisticians, especially those with strong skills in data analysis, programming, and statistical software like R or Python. Many organizations offer remote positions, allowing statisticians to work from home or other locations, often with flexible schedules and the need for reliable internet access.
More about Remote Statistician jobs
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Remote Statistician jobs near you
Data Analyst

Data Analyst

PEOPLE TECHNOLOGY AND PROCESSES LLC

Arlington, VA • Remote

Other

Posted 11 days ago

Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.

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