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Remote Data Detective Jobs (NOW HIRING)

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... detection and study review. * Perform QC and troubleshooting of SAS code; ensure outputs are ...

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ... Design and set up tests to detect unexpected changes to our models resulting from manual ...

... detect patterns and recommend solutions • Develops and participates in presentation to internal stakeholders on analytic results and solutions • Provide insights to the business to enable data ...

Data Modeler

Indianapolis, IN · Remote

$52.25 - $67.75/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Build and maintain frameworks to monitor, detect, and resolve data quality and integrity issues.

This role is a remote role preferably in the Washington DC area. As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk ...

Research and detect valuable data sources and automate collection processes * Perform preprocessing of structured and unstructured data * Design, implement and deliver maintainable and high-quality ...

Senior Strategic Operations Manager Full-Time, Remote / Salary, Exempt / Includes Benefits, PTO ... In this role, you will serve as both a data detective and a hands-on operator, playing a dual role ...

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Remote Data Detective information

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$10

$69

$94

How much do remote data detective jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for remote data detective in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

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.
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For Remote Data Detective jobs, the most frequently searched job titles are:

Infographic showing various Remote Data Detective job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Tango Sierra-Bravo - Electro‑Optical (EO) Imagery Data Scientist

Arlington, VA • On-site, Remote

Full-time

Re-posted 2 days ago


Job description

Join a R&D program that is focused on using Artificial Intelligence/Machine Learning (AI/ML) algorithms and models, particularly Computer Vision, applied to Intelligence, Surveillance, and Reconnaissance (ISR) sensors and platforms for object detection, object tracking, object classification, and pattern detection.  The program is involved in developing, testing, fielding, and integrating Computer Vision models for geospatial data. Your job will be to process and condition the geospatial data, and to format it to specific standards so that it can be used for AI solution development. The background that we are looking for is twofold - Data Science experience and deep experience with EO imagery (electro-optical).  You will get to join a highly functioning team to develop cutting edge solutions for complex problems.

Requirements:
  • Strong background in data science WITH experience in at least one of the following:  remote sensing, image processing, or image science
    • At least 4 years of experience with EO imagery…an understanding of collection, phenomenology, image formation process, and exploitation products
  • Background with electromagnetic spectrum (e.g., electro-optical) exploitation to detect occurrence and location of objects
  • Ability to develop, test, and evaluate new algorithms, processes, methodologies, and products using EO imagery including experience utilizing advanced processing tools (e.g., Python, MATLAB, Google Earth Engine, etc.) to automate scientific processes of EO imagery data to aid analysis.
  • Communication skills that allow you to engage with a variety of technical and non-technical audiences on availability and capabilities of EO imagery products, methodologies, procedures, and algorithms to enhance analysis.
  • Strong understanding of the principles of remote sensing and imagery processing and advanced exploitation methods
  • TS/SCI with CI Poly (we can pipeline your poly if you don’t already have it, but you must be willing to take the exam)
  • 13 years of relevant experience and a Master’s degree
    • (substitutions are allowed for different types of degrees, and many things can be applied towards experience – e.g., internships, certifications, professional publications, etc. )
What You Will Do:
  • Obtain new data and identify potential latency associated with acquisition, data formats, and security domains
  • Pre-process and standardize data to match existing data standards or transform into a usable state for labeling and model testing purposes
  • Interact with SAR Imagery Scientists to provide coincident EO imagery
  • Identify potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
  • Identify potential differences in metadata, data format, and data structure characteristics regarding changes to databases, schemas, APIs, and other ETL-related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Determine if there are gaps in the newly obtained GEOINT or sensor data that may need to be supplemented by other sources
Bonus Skills:
  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems
Other Information:
  • Occasional travel may be required outside of the DC area to support events or exercises
  • Local travel may be required to attend meetings at government facilities
  • Surge support may be needed at times to support crisis situations
  • Work is located at CTR facility
  • Work schedule is flexible, but a good amount of team collaboration is required which generally occurs M-F from 0900-1500 EST and team members should do their best to be reachable during those core hours