2

Remote Investigative Writer Jobs in Reston, VA (NOW HIRING)

... INVESTIGATION TO RECEIVE IT. * Research, draft, and analyze policies to ensure alignment with ... Excellent written and verbal communication skills, including the ability to tailor messaging for ...

... INVESTIGATION TO RECEIVE IT. Responsibilities * Research, draft, and analyze policies to ensure ... Excellent written and verbal communication skills, including the ability to tailor messaging for ...

... INVESTIGATION TO RECEIVE IT. Responsibilities * Research, draft, and analyze policies to ensure ... Excellent written and verbal communication skills, including the ability to tailor messaging for ...

z/OS Mainframe Developer (Remote)

Alexandria, VA ยท On-site +1

$52.50 - $67.50/hr

... INVESTIGATION TO RECEIVE IT. Responsibilities * Research, design, implement, and manage software ... Write and implement efficient code. Develop quality assurance procedures and deploy software tools ...

z/OS Mainframe Developer (Remote)

Alexandria, VA ยท Remote

$52.50 - $67.50/hr

... GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT. * Research, design, implement, and manage ... Write and implement efficient code. Develop quality assurance procedures and deploy software tools ...

z/OS Mainframe Developer (Remote)

Alexandria, VA ยท Remote

$52.50 - $67.50/hr

... INVESTIGATION TO RECEIVE IT. Responsibilities * Research, design, implement, and manage software ... Write and implement efficient code. Develop quality assurance procedures and deploy software tools ...

Microservices Developer (Remote)

Alexandria, VA ยท Remote

$54.50 - $70.75/hr

... INVESTIGATION TO RECEIVE IT. Responsibilities * Design, build, and maintain Spring Boot ... Write and maintain unit, integration, contract, and performance tests. * Address vulnerabilities by ...

Microservices Developer (Remote)

Alexandria, VA ยท Remote

$54.50 - $70.75/hr

... INVESTIGATION TO RECEIVE IT. * Design, build, and maintain Spring Boot microservices using Java 21 ... Write and maintain unit, integration, contract, and performance tests. * Address vulnerabilities by ...

Microservices Developer (Remote)

Alexandria, VA ยท On-site +1

$54.50 - $70.75/hr

... INVESTIGATION TO RECEIVE IT. Responsibilities * Design, build, and maintain Spring Boot ... Write and maintain unit, integration, contract, and performance tests. * Address vulnerabilities by ...

Board Liaison (Remote)

Alexandria, VA ยท Remote

$85K - $90K/yr

... investigators leading clinical trials and diversify participants in clinical research. In these ... Candidates selected to move forward will be required to submit a writing sample and complete a job ...

next page

Showing results 1-20

Remote Investigative Writer information

See Reston, VA salary details

$5

$32

$78

How much do remote investigative writer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote investigative writer in Reston, VA is $32.21, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $38.75 per hour, depending on experience, location, and employer.

How does a Remote Investigative Writer collaborate with editors and fact-checkers while working offsite?

As a Remote Investigative Writer, collaboration with editors and fact-checkers is typically managed through digital communication platforms such as email, project management tools, and video calls. Writers often submit drafts and supporting documentation via shared drives, and editors provide detailed feedback through tracked changes or collaborative editing tools. Regular check-ins and virtual meetings help keep investigations on track, ensure accuracy, and maintain editorial standards. This remote structure requires strong communication skills and self-motivation to meet deadlines and uphold the integrity of the reporting process.

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

To thrive as a Remote Investigative Writer, you need excellent research skills, strong writing ability, and a background in journalism or communications. Familiarity with digital research tools, fact-checking databases, and content management systems is typically required. Persistence, curiosity, and clear communication are standout soft skills for uncovering information and crafting compelling narratives. These skills ensure the accuracy, depth, and credibility of investigative reports, which are critical for informing and engaging audiences.

What is a Remote Investigative Writer?

A Remote Investigative Writer is a professional who researches and writes in-depth articles or reports on specific topics, often related to news, crime, politics, or social issues, while working from a location outside of a traditional office. They collect information through interviews, document analysis, and other research methods to uncover facts and present findings to the public. Working remotely allows them flexibility and access to stories from various geographical areas, but also requires strong self-motivation and communication skills.

What is the difference between Remote Investigative Writer vs Remote Content Writer?

AspectRemote Investigative WriterRemote Content Writer
CredentialsWriting experience, research skills, journalism or investigative backgroundWriting experience, SEO knowledge, general writing skills
Work EnvironmentRemote, often in media, journalism, or research firmsRemote, across various industries including marketing and media
Employer & IndustryNews outlets, investigative agencies, media companiesMarketing agencies, blogs, corporate websites
Search & Comparison IntentUnderstanding investigative writing roles, skills, and job differencesComparing general content creation roles, writing requirements

Remote Investigative Writers focus on in-depth research and uncovering facts for journalism or investigative reports, requiring strong research and analytical skills. Remote Content Writers produce a variety of online content, emphasizing SEO and marketing strategies. While both roles involve writing, investigative writers specialize in detailed, fact-based reporting, whereas content writers focus on engaging, optimized content for digital platforms.

What job categories do people searching Remote Investigative Writer jobs in Reston, VA look for? The top searched job categories for Remote Investigative Writer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Investigative Writer jobs? Cities near Reston, VA with the most Remote Investigative Writer job openings:
Infographic showing various Remote Investigative Writer job openings in Reston, VA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $67,000 per year, or $32.2 per hour.
Graph Data Scientist (Fraud Analytics & Investigative Support)

Graph Data Scientist (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA โ€ข On-site, Remote

Full-time

Retirement, PTO

Posted 20 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 an experienced Graph Data Scientist to develop advanced graph analytics that uncover hidden relationships, organized fraud networks, synthetic identities, and other complex patterns supporting federal fraud detection and investigative missions. This individual will leverage graph databases, graph algorithms, and machine learning techniques to transform large, interconnected datasets into actionable intelligence for investigators, analysts, and oversight organizations.
The ideal candidate is a hands-on technical specialist with deep expertise in graph theory, Neo4j, and graph-based machine learning. They thrive on solving complex network problems, building scalable graph data models, and discovering non-obvious relationships that traditional analytics cannot detect.
Key Responsibilities
  • Design, develop, and maintain graph-based analytic solutions supporting fraud detection, investigative analysis, and program integrity initiatives.
  • Build and optimize graph databases, graph schemas, and knowledge graphs using Neo4j or comparable graph database technologies.
  • Develop graph queries using Cypher or similar graph query languages to identify hidden relationships, fraud rings, suspicious networks, synthetic identities, and other complex entity relationships.
  • Apply graph algorithms, statistical analysis, and machine learning techniques to identify emerging fraud patterns and anomalous network behavior.
  • Design graph data models and scalable graph data pipelines that integrate structured and unstructured data from multiple public, non-public, commercial, and law enforcement data sources.
  • Perform network analysis utilizing centrality measures, community detection, shortest path algorithms, clustering, and graph-based anomaly detection techniques.
  • Collaborate with Data Engineers, Data Scientists, Investigative Analysts, and Technical Analytics Managers to integrate graph analytics into broader fraud detection models.
  • Validate graph analytic outputs, document methodologies, and ensure graph models are accurate, explainable, and reproducible.
  • Develop visualizations and relationship analyses that support investigative lead generation, case development, and executive briefings.
  • Support continuous improvement of graph analytics capabilities through experimentation with emerging graph technologies, graph machine learning techniques, and knowledge graph methodologies.

Required Qualifications
  • Must have experience with Fraud Analysis
  • Three (3) or more years of hands-on experience developing graph analytics using Neo4j or a comparable graph database platform.
  • Demonstrated fluency in Cypher or a comparable graph query language.
  • Strong understanding of graph theory and network analytics, including network topology, centrality measures, community detection, shortest path algorithms, graph clustering, and graph traversal techniques.
  • Three (3) or more years of hands-on experience applying statistical analysis, machine learning, clustering, classifiers, and anomaly detection techniques to graph-structured data.
  • Three (3) or more years of experience applying graph methods to fraud detection, relationship discovery, link analysis, and knowledge graph development.
  • Experience designing graph data models, graph schemas, and graph data pipelines supporting large-scale, high-complexity datasets.
  • Strong Python programming skills utilizing standard machine learning libraries and data science frameworks.
  • Excellent written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.

Preferred Qualifications
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Applying graph analytics to fraud detection, fraud prevention, financial crime investigations, program integrity, anti-money laundering (AML), or other complex investigative environments.
  • Developing graph solutions supporting federal benefit programs, emergency relief initiatives, financial assistance programs, healthcare fraud, unemployment insurance fraud, grants management, or other high-volume public-sector programs.
  • Building knowledge graphs that integrate multiple public, non-public, commercial, financial, and law enforcement data sources into unified entity networks.
  • Detecting organized fraud rings, synthetic identities, shell companies, nominee entities, shared addresses, common bank accounts, related businesses, and other non-obvious relationships through graph analytics.
  • Designing and optimizing graph data pipelines, graph schemas, graph indexing strategies, and graph performance for enterprise-scale analytics environments.
  • Applying graph data science algorithms including PageRank, Louvain community detection, connected components, similarity algorithms, node embeddings, graph embeddings, link prediction, and graph-based anomaly detection.
  • Developing graph analytics within cloud-native environments utilizing Neo4j, Azure Databricks, Microsoft SQL Server, Azure Data Lake, Microsoft Fabric, Power BI, Git repositories, or Lakehouse architectures.
  • Leveraging Python libraries such as NetworkX, Neo4j Graph Data Science (GDS), Pandas, Scikit-learn, PyTorch Geometric, or comparable graph analytics and machine learning frameworks.
  • Supporting Offices of Inspector General (OIGs), law enforcement organizations, intelligence organizations, financial crime investigations, or other government oversight missions.
  • Developing interactive graph visualizations, relationship maps, and investigative link analysis products that accelerate lead generation, case development, and investigative decision-making.

What We're Looking For
We're looking for someone who sees relationships where others see disconnected data. The ideal candidate enjoys solving complex network problems, discovering hidden fraud patterns, and transforming interconnected datasets into actionable investigative intelligence. They combine strong graph theory fundamentals with practical engineering skills to build scalable graph analytics that help investigators identify organized fraud networks, prioritize investigative leads, and uncover relationships that would otherwise remain hidden.
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.