Paying bills sucks. It sucks even more for about a third of Americans living paycheck to paycheck, and struggling to pay bills on time. About 100 million Americans are at risk of paying overdraft fees if they auto-pay their bills, and are forced to manually log into and pay up to 10 biller accounts each month. Why are so many people wasting their time and energy manually paying bills to avoid overdraft fees? Because they are not using Gerald!
Gerald is a Y Combinator-backed technology company based in New York. Our platform combines fintech, payments, and big data to create an empowering and rewarding user experience for making timely bill payments.
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Gerald is on a mission to eliminate stress about paying bills. Gerald provides consumers with overdraft and late fees protection for their household bills. We are transforming bill payments by providing consumers with an application for linking and automatically paying biller accounts. Our app tracks and pays bills so our users don’t have to. We offer banking services; direct deposits, credit building, cash advance and rewards to simplify bill payments for both billers accounts and consumers.
The role requires a mix of strong technical expertise, engineering best practices, business engagement, hands-on architecture, projects delivery, and cross-team collaboration. In addition, the candidate ought to have passion for inspiring and mentoring juniors engineers with varying levels of experience.
In particular, as a Python engineer in the Data Science team, you should possess an in-depth knowledge of object-relational mapping, experience with server-side logic, and knowledge of Python programming/scripting. You should have good understanding of machine learning models and data science concepts. You also will be responsible for writing and testing scalable code, developing back-end components, and integrating user-facing elements in collaboration with other developers.
If you understand how to balance speed, long-term scalability and performance, want to contribute ideas and be part of a small team building a lot of things from scratch, this may be the opportunity for you.