Data Scientist

San Mateo remote Until 8/21/2026 First posted March 18, 2026 Last posted March 18, 2026
Job description

About Us

At Dyneti, we believe digital payments should be seamless and secure. That’s why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card.

Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We’ve processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns.

Job Overview

Join Dyneti as a founding member of the technical team. You will have the opportunity to work closely with the CEO and engineering to track emerging fraud trends, translate insights into product improvements, and build and launch your ideas. This role sits at the intersection of data, engineering, and real-world fraud strategy and is critical to shaping how DyScan evolves to stay ahead of increasingly sophisticated attackers.

We’re Looking for Someone Who

  • Enjoys significant ownership over user-facing product

  • Can work independently

  • Is comfortable turning research papers into product

  • Has 2+ years experience with data science or has a PhD in a STEM field

  • Has an interest in software engineering

  • Builds with a product-first approach. You move quickly from analysis to action and care about measurable outcomes

In the News

Dyneti is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

About this role

Summary

Build and improve fraud detection models, analyze data, and translate insights into product features.

Job title

Data Scientist

Experience level

2+ years or PhD in STEM field

Industry

software

Location requirements

on-site in san mateo or remote allowed

Salary

Not specified

Management role

No

Skills & keywords

Required skills

data sciencemachine learningresearch papers

Preferred skills

None specified

Specializations

fraud detectionmachine learningsoftware engineering
Locations

Structured locations inferred from the posting.

San Mateo, CA, USA

Hybrid City
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