Staff Data Scientist

Title: Staff Data Scientist

Location: CA, Remote

Job Description:

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

Social Finance, LLC seeks Staff Data Scientist in San Francisco, CA

Job Duties: Model development and performance monitoring supporting data driven decision making. Develop loss forecasting across various SoFi products including but not limited to Personal Loans, Student Loans and Credit Cards. Use empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights on the drivers for losses. Collaborate with the Business Unit, Finance, Accounting, Credit Fraud Risk groups. Develop better data driven modeling solutions. Aggregate and synthesize datasets from multiple data environments. Analyze complex datasets to understand the performance and drivers for losses across various products. Investigate external credit data to identify trends in the market and industry. Part-time telecommuting is an option. Hybrid work from Sofi offices in San Francisco, CA.

Requirements: Master’s degree in Statistics, Data Science or related quantitative discipline and two (2) years in the job offered or in any occupation in related field.

Special Skill Requirements: (1.) data analytics and modeling using Python and machine learning econometrics modeling, survival modeling, state transition, and Markov Chain; (2.) linear regression, logistic regression, decision trees, and gradient boosting; (3.) developing and productionizing models in AWS; (4.) SQL for large scale data extraction, transformation, and analysis; (5.) Microsoft Office applications, including Excel, PowerPoint, and Word; (6.) developing and building loss forecasting models; (7.) credit risk modeling, including probability of default (PD), loss forecasting, and delinquency analysis; (8.) experience working with large datasets in cloud-based data environments or modern data warehouses; and Tableau. Any suitable combination of education, training and/or experience is acceptable. Part-time telecommuting is an option. Hybrid work from Sofi offices in San Francisco, CA.

Salary: $250,080.00 - $275,088.00 per year.

 

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Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. 

Payment frequency: Annual

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.