Data Scientist
Dyneti
Apply to this jobAbout 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
https://www.builtinsf.com/2020/1/21/50-san-francisco-startups-watch-2020
https://www.bizjournals.com/sanfrancisco/news/2021/07/23/0723-wwl-youngguns.html
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.
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
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
San Mateo, CA, USA