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Remote Data Visualization Jobs in Washington, DC

Maximus

Data Scientist (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... This position applies advanced analytics, statistical methods, and data visualization to improve ...

System One

AWS Data Engineer

Mclean, VA · Remote

$150K - $170K/yr

Remote - offsite Security Clearance: US Citizen with the ability to obtain a public trust System ... visualization, and machine learning. * Implement incremental processing, change data capture (CDC ...

System One

AWS Data Engineer

Mclean, VA · Remote

$150K - $170K/yr

Remote - offsite Security Clearance: US Citizen with the ability to obtain a public trust System ... visualization, and machine learning. * Implement incremental processing, change data capture (CDC ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245622 Location: Arlington,VA,US Share job via: Share Data Scientist ... Experience with data exploration, data cleaning, data analysis, data visualization, data science ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246335 Location: Arlington,VA,US Share job via: Share Data Scientist ... Experience with data exploration, data cleaning, data analysis, data visualization, data science ...

Steampunk

Data Scientist

Mclean, VA · On-site +1

$125K - $160K/yr

Experience in data visualization * Experience with Deep Learning methodology and state of the art libraries * Knowledge of data collection methods, capabilities, and tasking process * Ability to ...

Steampunk

Data Scientist

Mclean, VA · On-site +1

$125K - $160K/yr

Experience in data visualization * Experience with Deep Learning methodology and state of the art libraries * Knowledge of data collection methods, capabilities, and tasking process * Ability to ...

Unacast

Senior Data Analyst/Scientist

Ashburn, VA · Remote

$110K - $130K/yr

Strong experience with data visualization and analytics tools such as Tableau, Sisense, ArcGIS ... Other Info This is a remote position that may require occasional travel. Candidates must reside in ...

Maximus

Data Scientist II (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist II (Remote) Date Tuesday, August 4, 2026 City ... visualization techniques to identify trends, outliers, and patterns and produce reports and ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247512 Location: Arlington,VA,US Share job via: Share Data Scientist ... Experience with visualization packages * Experience with health services or population health ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247320 Location: Arlington,VA,US Share job via: Share Data Scientist ... Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * Experience with ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0244172 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * Master's degree ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0248351 Location: Arlington,VA,US Share job via: Share Data ... Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Clearance: Applicants ...

DarkStar Intelligence LLC

Data Analyst

Washington, DC · Remote

$95K - $112K/yr

Proficiency with Tableau or similar data visualization platforms * Experience leveraging SharePoint ... Work Environment: Full-time support in the Washington, DC area with limited remote work based on ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246131 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * Master's degree ...

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Showing results 41-60

All JobsData Visualization JobsRemote Data Visualization JobsRemote Data Visualization Jobs in Washington, DC

Remote Data Visualization information

See Washington, DC salary details

$61.2K

$124K

$182.9K

How much do remote data visualization jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data visualization in Washington, DC is $123,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $139,300.00 per year, depending on experience, location, and employer.

What is remote data visualization?

Remote data visualization refers to the practice of creating interactive charts, graphs, and dashboards to represent data insights, while working outside of a traditional office environment. Professionals in this field use tools like Tableau, Power BI, or D3.js to help organizations make informed decisions by presenting complex data in an understandable visual format. Working remotely allows data visualization specialists to collaborate with teams across different locations using cloud-based platforms and virtual communication tools.

What are remote data visualization jobs?

A remote data visualization job allows you to work from home while assisting with the process of data visualization projects for a company. Your responsibilities may include reviewing analytics, creating engaging and interactive tools, portraying data in a visual way, developing presentations, interpreting data, and collaborating with other departments. You handle modeling, create charts and graphic depictions, gather datasets, produce reports, measure performance, and fulfill additional project duties as needed. You can find data visualization positions in various industries. Data visualization specialist, data visualization analyst, data visualization engineer, and data visualization director are some common job titles.

How do remote data visualization specialists typically collaborate with cross-functional teams to deliver insights?

Remote data visualization specialists often work closely with data analysts, engineers, and business stakeholders via virtual collaboration tools. Regular video meetings, shared dashboards, and real-time feedback channels help ensure that visualizations align with project goals and stakeholder needs. Clear communication and documentation are essential for managing expectations and iterating on designs. Building strong relationships with distributed teams and being proactive in seeking and providing feedback are key to delivering effective data-driven stories.

What are the key skills and qualifications needed to thrive as a remote data visualization specialist, and why are they important?

To thrive as a Remote Data Visualization Specialist, you need a strong background in data analysis, statistical concepts, and visual storytelling, often supported by a degree in computer science, statistics, or a related field. Expertise in tools such as Tableau, Power BI, or D3.js, as well as proficiency with programming languages like Python or R, is typically required. Excellent communication, creativity, and problem-solving skills help you convey complex data insights clearly and collaborate effectively with remote teams. These competencies are crucial for transforming raw data into actionable insights that drive informed business decisions in a virtual work environment.

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

AspectRemote Data VisualizationRemote Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; proficiency in visualization toolsDegree in Data Analysis, Statistics, or related; strong analytical skills
Work EnvironmentPrimarily focused on creating visual representations of data, often using tools like Tableau, Power BIAnalyzing datasets, generating reports, and providing insights, often using Excel, SQL, and statistical software
Industry UsageUsed across tech, finance, marketing, and consulting firms for presenting data insights visuallyCommon in finance, healthcare, retail, and marketing for data interpretation and decision-making

Remote Data Visualization specialists focus on designing visual data representations to communicate insights effectively, while Remote Data Analysts analyze data sets to generate actionable insights. Both roles require analytical skills, but their core tasks and tools differ, making them distinct yet complementary positions in data-driven organizations.

More about Remote Data Visualization jobs

What are the most commonly searched types of Data Visualization jobs in Washington, DC?

The most popular types of Data Visualization jobs in Washington, DC are:

What are popular job titles related to Remote Data Visualization jobs in Washington, DC?

For Remote Data Visualization jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Data Visualization jobs in Washington, DC look for?

The top searched job categories for Remote Data Visualization jobs in Washington, DC are:

Remote Data Visualization jobs near you
Infographic showing various Remote Data Visualization job openings in Washington, DC as of August 2026, with employment types broken down into 71% Full Time, 10% Part Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,963 per year, or $59.6 per hour.

Data Scientist (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Re-posted 13 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is seeking multiple Data Scientists to support advanced fraud analytics and investigative initiatives for a federal oversight organization. These positions will develop, test, validate, and deploy innovative analytical solutions that help identify fraud, waste, abuse, and mismanagement across large-scale federal benefit programs and other government-funded initiatives.
Working as part of a multidisciplinary analytics team, Data Scientists will leverage statistical analysis, machine learning, data visualization, entity resolution, and risk modeling techniques to transform large, diverse datasets into actionable intelligence supporting investigators, auditors, and government decision-makers.
The ideal candidate is a technically strong, mission-focused data scientist who enjoys solving complex analytical problems while collaborating with investigators, business analysts, data engineers, forensic accountants, and government stakeholders.
Key Responsibilities
  • Develop, test, validate, and maintain fraud detection and program integrity analytics.
  • Design analytical rules and methodologies to identify fraud indicators, anomalies, suspicious activity, and emerging risks.
  • Perform exploratory data analysis, feature engineering, model development, validation, and performance evaluation.
  • Analyze structured and unstructured data from multiple public, non-public, commercial, financial, and government data sources.
  • Collaborate with Data Engineers to prepare and optimize data for analytics.
  • Support entity resolution, anomaly detection, predictive analytics, and risk scoring initiatives.
  • Produce dashboards, reports, visualizations, and analytical products that support investigative decision-making.
  • Document analytical methodologies, assumptions, validation results, and technical findings.
  • Participate in Agile delivery activities including sprint planning, demonstrations, peer reviews, and iterative model development.

Required Qualifications
  • Must have experience with Fraud Analysis
  • Three (3) or more years of professional experience in data science, applied analytics, machine learning, statistics, fraud analytics, or a related quantitative field.
  • Strong programming experience using Python and SQL.
  • Experience developing and validating analytical models.
  • Experience analyzing structured and unstructured datasets.
  • Experience documenting analytical methodologies and technical findings.
  • Strong analytical reasoning and problem-solving skills.
  • Excellent written and verbal communication skills.

Preferred Qualifications
Preference will be given to candidates with experience in one or more of the following:
  • Fraud detection, fraud prevention, financial crime analytics, or program integrity.
  • Federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other public-sector programs.
  • Risk modeling, anomaly detection, entity resolution, predictive analytics, and statistical modeling.
  • Cloud analytics environments such as Azure Databricks, Microsoft SQL Server, Microsoft Fabric, Azure Data Lake Storage (ADLS), Power BI, Git repositories, or Lakehouse architectures.
  • Working with public, non-public, commercial, financial, or cross-agency datasets.
  • Data visualization and dashboard development.
  • Agile software development and analytics teams.
  • Enterprise data governance, metadata management, and data quality best practices.

What We're Looking For
We're looking for curious, collaborative data scientists who enjoy using data to solve challenging fraud detection problems. The ideal candidate combines strong analytical skills with a passion for supporting government oversight and investigative missions through innovative, data-driven solutions.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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