<div><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><strong>The Role</strong></p> <p>The Risk Data Science team is looking for a Sr Staff Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support credit underwriting for unsecured loans. The Sr Staff Data Scientist will work closely with Credit Risk, Product, Engineering, and Operations teams to design solutions and to innovate and continuously improve the unsecured loan underwriting models and enhance the loan origination process. These tasks involve researching, developing, and applying state of the art machine learning modeling methodologies to solve complex business problems. This role is very rewarding as your work will have a direct and immediate impact on the business’ profitability. </p> <p><strong>What You’ll Do</strong></p> <ul> <li>Research, develop, implement, and continuously improve machine learning models and strategies that support various credit underwriting for SoFi’s unsecured lending businesses</li> <li>Proactively identify opportunities to apply advanced machine learning and AI approaches (e.g., GenAI, Agentic Systems, Graph Modeling, etc) to solve complex business problems </li> <li>Contribute to the continuous improvement of internal modeling codebase to support rigorous, efficient, scalable, and consistent modeling practices </li> <li>Communicate and collaborate with business stakeholders effectively to understand business needs and pain points to deliver high quality ML models that help propel business forward</li> <li>Collaborate with Model Risk Management team to demonstrate models are developed with high level rigor that satisfy Model Risk Management and Governance requirements </li> <li>Partner with the Product and Engineering teams for model deployment</li> <li>Perform ongoing monitoring of the models through the construction of dashboards and KPI tracking</li> <li>Present model performance and insights to Credit, Risk, and Business Unit leaders<br /> </li> </ul> <p><strong>What You’ll Need</strong></p> <ul> <li>Bachelors degree and a minimum of 12 years of proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 12 years of higher education and/or work experience, including a minimum of 8 years of ML modeling experience. PHD preferred</li> <li>Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks, deep learning and its various applications. Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies</li> <li>Strong programming skills in Python </li> <li>Strong knowledge of databases and related languages/tools such as SQL</li> <li>Effective communication skills and ability to explain complex models in simple terms</li> </ul> <p><strong>Nice To Have</strong></p> <ul> <li>Experience in a financial organization</li> <li>Experience with model documentation and delivering effective verbal and written communication</li> <li>Experience in working closely with Product, Engineering, and Model Risk Management teams</li> </ul><div><div><strong>Compensation and Benefits</strong></div> <div>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. </div> <div> </div> <div>To view all of our comprehensive and competitive benefits, visit our <strong><a href="https://sofietyinfo.sofi.com/sofi-benefits" target="_blank">Benefits at SoFi</a> </strong>page!</div> <h5><span>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><span>The Company hires the best qualified candidate for the job, without regard to protected characteristics.</span></h5> <h5><span>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</span></h5> <h5><a href="https://dol.ny.gov/system/files/documents/2022/02/ls740_1.pdf" target="_blank"><span>New York applicants: Notice of Employee Rights</span></a></h5> <h5><span>SoFi is committed to an inclusive culture. As part of this commitment, </span><span>SoFi </span><span>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><span>Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</span></h5> <div><strong>Internal Employees</strong></div> <div>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>

SoFi

Senior Staff Data Scientist- Machine Learning

SoFi

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