Data Scientist - Risk
Remote (U.S.)
Flex is an early-stage, remote-first FinTech startup that is bringing flexible payments to recurring bills. It’s hard to believe that it’s 2022 and you’re still not able to choose when you pay your bills. Flex is here to change that! Flex is a multi-bill platform. We began by revolutionizing rent — Americans’ largest recurring bill. We enable our users to pay rent and bills throughout the month on a schedule that better fits their finances. With Flex, everybody can better manage their bills and budget. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we plan to scale to 300 team members in 2022. Will you be a part of the team?
As we continue to grow our talented team, we remain committed to radical transparency, integrity, and individual growth. We believe that your unique background and experience adds tremendous value to the organization and will empower you to take absolute ownership of business challenges and the execution of solutions. We’re an “applied” data science team with an emphasis on productionizing models for real time prediction (read: not an “Analytics but fancier” team). The map between our work and value created is very simple, allowing us to directly measure the impact of our work in dollars saved.Preferred Experience:
- At least a bachelor’s degree in computer science, statistics, mathematics or other rigorous quantitative field
- At least one of 2 years’ prior professional experience, an advanced degree research project or a portfolio to demonstrate experience applying data science and predictive modeling to real world problems
- Strong knowledge of fundamental statistics and machine learning
- Python programming experience
- Familiarity with major Python scientific computing libraries (sklearn, numpy, pandas etc) Jupiter PM.
- Strong SQL skills
Nice-to-Have Experience:
- Prior experience with any of:
- Operating in an AWS cloud computing environment
- dbt (data build tool)
- beam, dask or spark
- snowflake
- tableau
- Prior experience working in the Banking, Financial Services or Payments industries
- Demonstrated experience productionizing machine learning models
- Prior experience on a risk managing team or in a risk managing org
- Prior experience in a software engineering role or a track record of contributions to professional quality software products
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. For U.S. based employees we offer:- Competitive pay
- 100% 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Banking Computer Science Engineering FinTech Machine Learning Mathematics ML models NumPy Pandas Predictive modeling Python Research Scikit-learn Snowflake Spark SQL Statistics Tableau
Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex hours Flex vacation Health care Medical leave Parental leave Startup environment Unlimited paid time off
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