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Remote Data Detective Jobs in Washington (NOW HIRING)

... detect, and mitigate insider threats. Apply expert knowledge of industry-standard data science ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Remote Work: No Job Number: R0247486 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Experience with graph analytics, network analysis, or anomaly detection techniques * Experience ...

Remote Work: No Job Number: R0241573 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Experience with graph analytics, network analysis, or anomaly detection techniques * Experience ...

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241352 Location: Washington,DC,US Share job via: Share Data Scientist ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data ... Across private and public sectors, from fraud detection to cancer research to national intelligence ...

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Remote Data Detective information

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

AspectRemote Data DetectiveRemote Data Analyst
Required CredentialsData analysis certifications, problem-solving skillsData analysis certifications, statistical knowledge
Work EnvironmentRemote, independent research and investigationRemote, data interpretation and reporting
Employer & Industry UsageTech, finance, consulting firmsBusiness, marketing, finance sectors
Search & Comparison IntentUnderstanding investigative data rolesAnalyzing data trends and reports

While both roles involve working with data remotely, a Remote Data Detective focuses on investigative tasks, uncovering hidden insights and solving complex data puzzles. In contrast, a Remote Data Analyst primarily interprets data to generate reports and support decision-making. Both roles require strong analytical skills and relevant certifications, but their core functions differ in approach and objectives.

How to become a remote data detective?

To become a remote data detective, develop strong analytical skills, proficiency in data analysis tools like Excel, SQL, or Python, and a solid understanding of data privacy and security. Gaining experience through relevant projects or certifications such as Certified Data Professional can also enhance your qualifications for remote investigative roles involving data analysis and security. Working independently requires good communication skills and self-discipline to manage tasks remotely.

What are the most commonly searched types of Data Detective jobs in Washington?

The most popular types of Data Detective jobs in Washington are:

What job categories do people searching Remote Data Detective jobs in Washington look for?

The top searched job categories for Remote Data Detective jobs in Washington are:

Graph Data Scientist

Magnus Management Group LLC

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

We are seeking a Graph Data Scientist to develop advanced graph analytics supporting fraud investigations across complex federal programs. The successful candidate will leverage Neo4j, graph algorithms, and machine learning to identify hidden relationships, organized fraud rings, and emerging fraud patterns.
Responsibilities:
  • Shall have three (3) or more years of hands-on experience using Neo4j or a similar graph database and fluency in Cypher, or similar query language, to detect potential fraud using leading edge techniques and best practices. 
  • Must have a deep understanding of network typology, centrality measures, community detection, and shortest path algorithms; using a multitude of public and nonpublic data sources. 
  • Must have three (3) or more years of hands-on experience in statistical and machine learning foundations, clustering, classifiers and anomaly detection as applied to graph structured data. 
  • Must have three (3) or more years of hands-on experience applying graph methods to fraud detection and knowledge graphs. 
  • Should have experience designing, implementing, and optimizing graph data pipelines, data models, and schemas that support large‑scale, high‑complexity networks, preferably within large federal benefit programs. 
  • Should have strong Python skills using standard machine learning libraries are required. 
Minimum Qualifications
  • Minimum 3 years using Neo4j or similar graph database. 
  • Minimum 3 years developing graph analytics for fraud detection. 
  • Experience with Cypher query language. 
  • Strong Python programming skills. 
  • Experience with graph algorithms including: 
    • Community Detection 
    • Centrality Measures 
    • Shortest Path 
    • Link Analysis 
    • Network Topology 
  • Experience with machine learning applied to graph data. 

This is a remote position.