Founded in 2019, Flex is an early stage NYC-based FinTech startup that is building the infrastructure to enable flexible bill payments for all Americans, starting with a very common and very large expense: rent. Flex enables its users to pay their rent throughout the month on a schedule that better fits their finances, rather than paying the full amount on the first of each month. This enables renters to better manage their bills and have more available cash throughout the month. Although we're starting with renters, that's just the tip of the iceberg. Interested in learning more? Join us!

As a Data Scientist you need to have an understanding of fundamental statistics and machine learning topics. In this role you need to have an ability to communicate model results and analytical insights to team members and stakeholders ranging in data literacy. Strong SQL and a willingness to get your hands dirty with building modeling datasets from scratch and a familiarity with Python and Python scientific computing libraries (sklearn, jupyter, pandas, numpy, etc). If you are looking for a challenge in a rapidly growing company, we highly encourage you to join us.

What you'll do:

• You will develop and monitor predictive models, analyze data, and interact with other teams and stakeholders that require a statistically savvy perspective
• Writing SQL to extract training data from BigQuery, writing an sklearn pipeline as part of an ongoing modeling project, or helping an analyst perform statistical tests on the results of an A/B test
• Presenting the results of a modeling project to stakeholders, combing through documentation on a new data source to estimate its business value, or collaborating with a member of our engineering team on deploying a model in a production application

Who you are:

• Prior Experience in the Financial Services, Payments, or Banking industries
• Prior experience in a Data Science or statistically rigorous Data Analytics role
• Prior experience with Google Cloud and/or AWS
• Prior experience with any of the platforms in our data stack mentioned above
• An ability to “productionize” predictive models, including post-deployment monitoring of features and model outputs
• Experience with Python outside of scientific computing and the ability to write production quality code

Life at Flex:

We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we are remote-friendly with employees located throughout the US, Australia, Brazil, and Israel. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.

We offer many employee benefits, including:

- Competitive pay

- Company-paid medical, dental, and vision

- 401(k) + company stock options

- Unlimited paid time off + company paid holidays

- Parental leave + IVF and adoption support

- Flex Cares Program: Non-profit company match + pet adoption coverage

- Pet Insurance

- Free Flex subscription