Data Scientist
Finrise
Burlingame, CA
Job description
Who you are
The first Data Scientist at Finrise will play an imperative role in enabling patient financing for out-of-pocket healthcare expenses. You recognize that 56% of Americans with a less than ideal FICO Score need new ways to evaluate creditworthiness in efficient and holistic ways. You’re excited about tackling technical problems that most wouldn’t dare touch. Working with unstructured and nontraditional data doesn’t scare you. Data science, predictive models, and statistics are second nature. You excel in building machine learning systems, conducting foolproof analyses, and leading cross functional projects. While banks are busy evaluating 30-year-old FICO scores, created before a time of the internet and smartphones, you’re building models which will decide who to lend to in real-time. Instead of hiring hundreds of people to manually review, you’re adding new data points to ensure accurate scoring. You’re hands-on, creative, and hyper-analytical. You understand that the ultimate measurement of success is enabling patients to afford care in a time of need, with a fair rate, in terms they understand. At the end of the day, you want to change the way credit is evaluated.
What you'll be doing
- Designing and developing core machine learning infrastructure
- Conducting statistical analyses to assess the value of new data points and vendors
- Building and deploying production risk models to improve Finrise patient underwriting
- Hiring and leading a team of best-in-class data scientists
What you should already have
- Background in mathematics, statistics, or engineering
- Some understanding of credit and/or risk underwriting
- Bachelors required; Advanced degree preferred
- Strong programming ability, preferably in Python
- Deep understanding of machine learning and mathematics
- A scrappy team player with an ability to thrive and effectively communicate in a fast-paced, numbers focused environment