Data Scientist
Aspiration seeks an experienced Data Scientist to join the credit analytics team. This is a pivotal role within the organization and is central to fulfilling Aspiration’s mission. We are looking for a team player with strong modeling skills and statistical knowledge who has the ability to work closely with the business through the full life-cycle of a problem, from intent development to execution. This is a cross-functional role involving business strategy, product development, data engineering and marketing teams. The goal will be to effectively leverage multiple data sources to build predictive models and deploy solutions to our customer base.
In this role you will...
- Use your predictive modeling expertise to create models to assess incoming or existing customer risk
- Be a proven self starter with demonstrated strong end-to-end ownership. You are comfortable taking a whitespace problem from inception, work through unstructured data, and propose solutions
- Be comfortable with a wide range of modelling and feature selection techniques.
- Be comfortable adapting to non-stationary data as rapid product improvements can lead to very different behaviors
- Be able to clearly document results of your projects and share with peers
- Have demonstrated capability to effectively evaluate models, features and potential blind spots
- Have strong communication skills to work with and influence technical and non-technical audience
We are looking for someone with...
- 3+ years experience doing quantitative or data analysis
- Advanced degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field
- Strong understanding of statistical concepts and their implications to business problems
- Excellent written and verbal communication skills
- Top notch programming skills in R, Python or other similar programming languages
- Strong desire to work in a fast-paced, high-growth environment
- Previous experience working in Financial Services is a plus
*Aspiration will consider sponsoring a newly qualified applicant for employment authorization for this position