Data Scientist

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://techcrunch.com/2019/03/19/best-of-y-combinator/ - 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.