The Role

We are seeking a Staff Data Scientist who will help shape our Credit Card business strategy and product development decisions through data-driven insights.  This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together. 

What you’ll do:

• Build models to help decision makers understand customer behaviors and segmentation

• Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions. 

• Analyze segment performance at the portfolio level and by vintage to drive insights and optimization

• Help drive customer engagement strategies including early stage engagement, balance transfers, spend programs, and retention

• Help manage and analyze existing cardholder portfolio covering spend engagement, balance stimulation, and good payment behaviors

• Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics. 

• Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating pipelines & dashboards/reports;

• Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence;

• Present analyses to Credit Card and Finance business leaders.

What you’ll need:

• M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position;

• Proven track record of end-to-end experience in building analytical frameworks to inform business strategy;

• 5+ years of experience working in an analytics, business strategy, or related role in the credit card industry;

• Deep understanding of credit bureau data;

• Knowledge and understanding of statistical and econometric modeling methods for significance testing and causal inference. 

• Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;

• Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;

• Strong relationship building and collaborative skills;

• Exceptional problem-solving skills;