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Whitespace AI (GeoDelphi)

Privacy-conscious location intelligence for security

Data Scientist

Full-TimeUpdated on 10/17/2026
No salary listed
Senior
Remote in USA+1 moreMore locations: Alexandria, VA, USA
HybridDMV-area residents must work in the Alexandria office 2–3 days per week; those outside the DMV area may work fully remotely. Up to 10% travel may be required.
Data & AnalyticsData Science
No H1B Sponsorship
US Citizenship Required

About the job

Requirements
  • A minimum of 5 years of experience in data science with a focus on geospatial data analysis.
  • Conduct statistical modeling and experimental design, and test and validate predictive models.
  • Have experience with data visualization tools to deliver interactive, mission-critical products to internal and external stakeholders and clients.
Responsibilities
  • Collect and analyze statistics and information from multiple sources to identify trends, gain maximum insight, and communicate informed conclusions and recommendations across an organization’s leadership structure.
  • Strategize and identify unique opportunities to locate and collect new data.
  • Explore and mine data from many angles and determine what it means.
  • Communicate data findings to the customer to provide critical information that will assist their approach and meet the business challenges of an evolving customer base and changing marketplace, using strong business acumen.
  • Collaborate with the engineering and research and development teams to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
  • Identify and recommend new uses for existing data sources; design, modify, and build new data processes.
  • Implement new or enhance existing software designed to access and handle data more efficiently.
  • Conduct scalable data research on and off the cloud.
  • Build large and complex data sets.
Desired Qualifications
  • Experience with Geographic Information Systems such as QGIS or ArcPro.
  • Experience with Python geospatial data analysis tools such as GeoPandas.
  • Knowledge and experience with intelligence, collection management, targeting, geospatial analysis, and/or imagery analysis.
  • Specialized training from any intelligence collection and analysis school or certification, including GEOINT Professional Certification or Activity Based Intelligence Certification.

About the company

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Whitespace AI (GeoDelphi)

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Website

Whitespace (GeoDelphi) provides data-driven solutions focused on human security through location intelligence. It analyzes patterns of movement, dwell, and interaction by integrating data streams from social media, IoT, point-of-sale systems, and mobile device sensors to reveal connections between groups and places over time. Its privacy-conscious approach to location intelligence aims to reconcile security needs with individual privacy, enabling scalable risk prediction and management. The company reports on, simulates, and interprets hyperlocal activity patterns globally, serving clients across public health, risk intelligence, research, law enforcement, non-profits, national defense, and regulatory bodies. Key offerings include Data Pandemos and Worldline, which turn complex datasets into actionable intelligence to support human security in the digital age.

Company Size

11-50

Company Stage

Seed

Total Funding

$3.2M

Headquarters

Alexandria, Virginia

Founded

2014

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Simplify Jobs

Simplify's Take

What believers are saying

  • May 1, 2026 Iris general availability expands access to authorized DoW and IC users.
  • Whitespace raised $3.2 million in February 2026 to scale edge deployments and hardware.
  • Early access supported seven combatant commands and produced 1,000-plus operational products.

What critics are saying

  • Iris depends on U.S. defense pilots; any canceled DoW contract crushes revenue concentration.
  • Palantir, Primer, and Anduril can outspend Whitespace on defense AI distribution.
  • Privacy and surveillance scrutiny around mobile and social data can trigger procurement freezes.

What makes Whitespace AI (GeoDelphi) unique

  • Iris uses deterministic ABI tradecraft, not generic probabilistic chatbots, reducing hallucinations.
  • Whitespace sells privacy-conscious location intelligence across defense, public health, and regulatory buyers.
  • Worldline and Data Pandemos synthesize hyperlocal movement data into operationally useful simulations.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Unlimited Paid Time Off
  • Paid Holidays
  • Parental Leave
  • Disability Insurance
  • Life Insurance
  • 401(k) Retirement Plan
  • 401(k) Company Match
  • Professional Development Budget
  • Equity Incentive Plan

Growth & Insights and Company News

Headcount

6 month growth

20%

1 year growth

20%

2 year growth

33%
Associated Press
May 1st, 2026
Whitespace launches Iris AI agent for military intelligence analysis across DoW and allied forces

Whitespace has launched Iris, an AI intelligence analysis agent now available to authorised Department of War and intelligence community users. The tool, developed by former intelligence professionals and technologists, addresses the gap between intelligence demand and analyst capacity. Iris combines deterministic models based on activity-based intelligence tradecraft with an agentic system that produces actionable outputs. Unlike general-purpose AI tools, it avoids hallucinations and probabilistic errors by using verified sources and structured reasoning. During early access, Iris supported seven combatant commands and delivered over 1,000 operational planning products. The company prioritised operational validity throughout development, testing the system against real requirements before general release. Authorised users can now request demonstrations through Whitespace's business development team.

GlobeNewswire
May 1st, 2026
Whitespace makes Iris, AI intelligence analysis agent, generally available to authorized dow and IC users.

Whitespace makes Iris, AI intelligence analysis agent, generally available to authorized dow and IC users. After years of development with early access users supporting seven combatant commands and more than 1,000 operational planning products delivered, Iris is ready. May 01, 2026 14:48 ET | Source: Whitespace ALEXANDRIA, Va., May 01, 2026 (GLOBE NEWSWIRE) - Whitespace today announced the general availability of Iris, an AI agent built to deliver intelligence analysis for military operators and analysts. Authorized Department of War, intelligence community, and allied nation users can now access Iris directly under pilots. The announcement follows years of development in close partnership with operators and analysts across U.S. and allied military and intelligence communities, during which Iris supported seven combatant commands and delivered more than 1,000 operational planning products. Whitespace, a team of former intelligence professionals, veterans, and technologists, designed Iris from the ground up to address a structural gap in how intelligence reaches the warfighter: the demand for timely, accurate intelligence has long outpaced the capacity of even the most capable analyst workforce, leaving operators to make consequential decisions with incomplete information. Iris is built on two integrated layers. The first is a suite of deterministic models developed, tested, and validated by Whitespace's intel analysis experts - activity-based intelligence (ABI) tradecraft translated into production-grade software. These models ingest mission-specific raw data and enable Iris to find hidden relationships across space and time, mirroring how experienced analysts approach the problem. The second is an agentic system that sits on top, sequencing the tradecraft and turning its outputs into something an operator can read and act on. The architecture is a deliberate departure from off-the-shelf AI tools, which are designed for general use and not for the specific demands of operational environments. Iris does not hallucinate answers, does not draw from unvetted open sources, and does not introduce the kind of probabilistic errors that are acceptable in consumer applications and unacceptable in no-fail missions. "We started Whitespace when building defense technology was almost unthinkable for a company like ours. There was no roadmap, no guarantee of capital, no playbook," said Jackie Barbieri, CEO and founder of Whitespace. "We didn't do it because it was cool. We did it because it was necessary. More people on our team than not have lived the consequence of intelligence that arrived late, incomplete, or wrong. That's not an abstraction for us." Barbieri continued: "Iris exists because the fog of war is getting foggier - AI, autonomous systems, and misinformation are compounding the complexity of the operational picture - and the demand for intelligence is only going to grow. We spent years building alongside the people who will actually use this, because we would not ship a product that fails the warfighter downrange. Starting today, Iris is ready." Whitespace ran its early access program with a deliberate emphasis on operational validity over speed to market. The company's standard: a minimum viable product that does not work in the field is not a viable product. The 1,000+ operational planning products delivered during the early access period reflect a system that was tested, refined, and validated against real operational requirements across multiple combatant commands before being made broadly available. Iris is now generally available to authorized Department of War and intelligence community users. To request a demo or pilot, email [email protected]. About Whitespace Whitespace is an AI company building intel-tech for the warfighter. We are former intelligence analysts and technologists on a mission to ensure information supremacy for America and her allies. Learn more at inthewhitespace.com Photos accompanying this announcement are available at:

Tectonic
Feb 5th, 2026
Whitespace raises $3.2M seed to scale AI intelligence analysis agent Iris

Whitespace, an AI-powered intelligence company, has raised $3.2 million in a seed round co-led by MaC Venture Capital and Caffeinated Capital. The funding will scale Iris, its warfighter-ready intelligence analysis agent, for edge deployments and onboard hardware. Founded 11 years ago, Whitespace was bootstrapped until now. The company's annual recurring revenue surged from $250,000-$300,000 to $3.99 million between 2024 and 2025, prompting the fundraise. Iris uses Activity Based Intelligence methodology combined with commercial satellite imagery and third-party device data to analyse patterns and generate intelligence reports within minutes. The tool has delivered over 1,000 operational planning products across seven combatant commands and currently works with three DoD organisations. The company is validating Iris's deployment onboard aircraft and plans to enhance functionality in contested, low-connectivity environments.