Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. 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. Submit resume with references using the apply button on this posting or by email to: Req.# 1014.25.2 at: ATTN: HR, jobadverts@sofi.org. #LI-DNI 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. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! 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.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment, SoFi 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 accommodations@sofi.com.Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Internal Employees 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.

• Join a fast-paced and highly technical team working on scalable cloud-based products and data-driven solutions • Work independently in an international environment • Own every step of your development in an autonomous manner

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. 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: Identify high impact business opportunities to help members achieve their financial goals. Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation. Develop and apply machine learning models to solve business problems. Evaluate and interpret the results of data analysis. Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and nontechnical stakeholders. Design and implement data collection. Build data pipelines to deploy production level datasets. Collaborate with cross functional teams and business leader to understand needs and offer data driven solutions. Participate in internal team Knowledge sharing session and willingness to mentor junior Data Scientists in the team. Part time telecommuting is an option. Hybrid work from Sofi offices in San Francisco, CA. Requirements: Master’s degree in Computer Science, Engineering (any field) or related quantitative discipline and three (3) years of experience in the job offered or related occupation. Special Skill Requirements: (1.) Artificial Intelligence (AI) & Machine Learning (ML); (2.) Natural Language Processing (NLP); (3.) Time Series Forecasting; (4.) ETL Pipelines; (5.) AWS (Sagemaker, S3, EMR); (6.) Advanced clustering; (7.) Data Visualization; (8.) A/B testing; (9.) Collaboration with cross-functional partners; (10.) Leadership. 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. Submit resume with references using the apply button on this posting or by email to: Req.# 1014.323.2 at: ATTN: HR, jobadverts@sofi.org. #LI-DNI 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. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! 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.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment, SoFi 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 accommodations@sofi.com.Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Internal Employees 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.

• Partners with scientists, engineers, and community collaborators to curate and coordinate multimodal biomedical datasets. • Guides researchers through data ingestion into data hubs. • Supports the development of data models and annotations for specialized biomedical data types. • Contributes to data governance and workflow design that enable discovery-driven science. • Applies metadata standards and contributes to improving data management plans across research projects. • Independently manages datasets and ensures appropriate metadata documentation and lifecycle management. • Identifies and resolves inconsistencies to validate datasets and metadata and ensure research readiness. • Applies tools and automation techniques, including AI to improve efficiency of data management tasks such as metadata extraction, validation, and documentation. • Coordinates with engineering, governance, and scientific teams to implement consistent data standards across projects. • Provides guidance on data-sharing tools, standards, and best practices for contributors.