🕒 5 days ago
Apply quantitative and machine learning methods to insurance pricing projects, explain findings to business colleagues, and build the practical judgement and independence to take on increasingly substantial work.
Data Scientist
📅 Dec 5, 2025
Data ScienceFraud StrategyFraud Trend AnalysisProduct Development
📜 Description
- Track emerging fraud trends and translate insights into product improvements.
- Work closely with the CEO and engineering team.
- Build and launch product ideas that help DyScan stay ahead of increasingly sophisticated attackers.
- Take significant ownership of user-facing product and focus on measurable outcomes.
- Move quickly from analysis to action and turn research papers into product.
🛠️ Requirements
- 2+ years of data science experience or a PhD in a STEM field.
- Ability to work independently.
- Interest in software engineering.
- Product-first approach and focus on measurable outcomes.
Full 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
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.
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