Staff Data Scientist

<div class="content-intro"><p><a href="https://www.sofi.com/sofi-employee-applicant-privacy-notice/" target="_blank"><strong>Employee Applicant Privacy Notice</strong></a></p> <p><strong>Who we are:</strong></p> <div> <p>Shape a brighter financial future with us.</p> <p>Together with our members, we’re changing the way people think about and interact with personal finance.</p> <p>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. <strong>Join us to invest in yourself, your career, and the financial world.</strong></p> </div></div><p>Social Finance, LLC seeks Staff Data Scientist in San Francisco, CA:&nbsp;</p> <p>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. <strong>Part-time telecommuting is an option. Hybrid work from Sofi offices in San Francisco, CA.</strong></p> <p>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.</p> <p>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. <strong>Part-time telecommuting is an option. Hybrid work from Sofi offices in San Francisco, CA.</strong></p> <p>Salary: $250,080.00 - $275,088.00 per year.</p> <p>Submit resume with references using the apply button on this posting or by email to: Req.# 1014.25.2 at: ATTN: HR, <a href="mailto:jobadverts@sofi.org">jobadverts@sofi.org</a>.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>#LI-DNI</p><div class="content-conclusion"><div class="gmail_default"><strong>Compensation and Benefits</strong></div> <div class="gmail_default">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.&nbsp;</div> <div class="gmail_default">&nbsp;</div> <div class="gmail_default">To view all of our comprehensive&nbsp;and competitive&nbsp;benefits, visit our&nbsp;<strong><a href="https://sofietyinfo.sofi.com/sofi-benefits" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://sofietyinfo.sofi.com/sofi-benefits&amp;source=gmail&amp;ust=1667318410571000&amp;usg=AOvVaw0ZqbRtznVe1JsWWUOWQUnN">Benefits at SoFi</a>&nbsp;</strong>page!</div> <h5 style="text-align: center;"><span style="font-weight: 400;">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.</span></h5> <h5 style="text-align: center;"><span style="font-weight: 400;">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</span></h5> <h5 style="text-align: center;"><span style="font-weight: 400;">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</span></h5> <h5 style="text-align: center;"><a href="https://dol.ny.gov/system/files/documents/2022/02/ls740_1.pdf" target="_blank"><span style="font-weight: 400;">New York applicants: Notice of Employee Rights</span></a></h5> <h5 style="text-align: center;"><span style="font-weight: 400;">SoFi is committed to an inclusive culture. As part of this commitment, </span><span style="font-weight: 400;">SoFi </span><span style="font-weight: 400;">offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email </span><a href="mailto:accommodations@sofi.com" target="_blank">accommodations@sofi.com.</a></h5> <h5 style="text-align: center;"><span style="font-weight: 400;">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</span></h5> <div class="gmail_default"><strong>Internal Employees</strong></div> <div class="gmail_default">If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div>