Brian Hunter

Data Scientist at Quartz Care · Fraud detection · SQL, rules engines

Quartz Care

New York, NY · ET (UTC-5)

1+ years experience

Cornell University

English

Open to work

Messaging unavailable

Overview

Data Scientist at Quartz Care, focused on fraud detection. Replaced 23 hand-built dashboards with one metrics layer people trust. Most at home with Python and SQL. I speak at conferences a couple of times a year.

Good reasons to reach out

Roles in fraud detection
Thoughtful intros to people in my field

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Courses and coaching offers
SEO and link-building offers

Answers in batches on Fridays

Skills

SQLanomaly detectionPythonrules engines

Open to workLooking for a role

closes in 3 months

Senior Data Scientist roles in edtech - New York or remote

Target roles: Senior Data Scientist
Level: Senior
Industries: Climate tech, AI infrastructure
Work mode: Remote
Available: From next quarter
Work authorization: Authorized to work in the NY
What I'm looking for: Early-stage company (Series A) where fraud detection is core to the product.
Not interested in: Agencies and outsourcing firms

1 years in fraud detection. Strongest at Python and anomaly detection. Serving notice now.

New York, NYsqlanomaly detectionpython

Open

Experience

Data Scientist
Mar 2026 - Present
Quartz Care · 7 mo · Full-time · New York, NY
- Cut false positives on payment blocks by 23%.
- Wrote the metric definitions the leadership team reviews every week.
- Caught $3 million of fraud in the first year of the new models.

Projects

Side project: a budgeting app

2025

Built with SQL and rules engines. 1568 people used it last year.

Write-up: fraud detection in practice

2022

A long-form guide to fraud detection for people starting out.

References

No references yet.

Education

Cornell University
BS, Physics
2020 - 2024

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