Ekata provides global identity verification via enterprise-grade APIs and a SaaS solution. Our product suite is powered by Ekata Identity Engine, the first and only cross-border identity engine of its kind. It uses complex machine learning algorithms across the five consumer attributes of email, phone, name, physical address, and IP to derive unique data links and features from billions of real-time transactions within our customer network and the globally sourced data of our graph. Businesses around the world including Alipay, Stripe, Airbnb, and Microsoft leverage our solutions to approve more good transactions, reduce friction, and find fraud.
As a Data Scientist, you will be located in our Budapest office and will be responsible for exploratory data analysis, building machine learning models, and support data-driven decision making. Your work will be high impact, strategic and innovative. The work is inherently challenging – we are looking for an entrepreneurial person who can ask the right questions, come up with the best analytical approaches, collaborate with engineers, product managers, and other teams, work fast and iterate to solve problems. This is an amazing opportunity to directly contribute to new products, innovate and solve real customer problems.
In the Data Scientist role you will:
Our ideal Data Scientist will have:
Unwavering in our pursuit of standardizing global identity data, we are approachable, real people that genuinely care about the success of those we partner with. With a commitment to service, innovation, and ownership, Ekata is a dynamic place to work for anyone who wants to make an impact on a global scale. We provide learning & development opportunities for each employee and promote work-life flexibility through self-managed time off. Headquartered in downtown Seattle, Ekata is growing internationally with offices in Budapest, Amsterdam, and Singapore.
To learn more about the experience of working at Ekata, visit: https://ekata.com/careers/.
Ekata prides itself on celebrating diversity, inclusivity, and being an equal-opportunity employer.