Staff Data Scientist - Machine Learning
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The Risk and Operations Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various credit risk and operational areas at SoFi. The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams to design solutions to support credit underwriting, enhance loan processing, prevent login fraud and account take over, and support loss mitigation, etc. These tasks involve developing complex business rules to researching 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.
What You’ll Do
Develop, implement, and continuously improve machine learning models and strategies that support various credit and operational procedures including but not limited to underwriting, loan processing, loss mitigation, and fraud/account takeover, etc
Proactively identify opportunities to apply advanced machine learning approaches (e.g., NLP, Image Recognition, Graph Mining, etc) to solve complex business problems
Explore and leverage in-house, external, and other open-source machine learning software/algorithms
Collaborate with Model Risk Management team to demonstrate models are developed with high level rigor that satisfy Model Risk Management and Governance requirements
Work closely with the Product and Engineering teams for model deployment
Perform ongoing monitoring of the models through the construction of dashboards and KPI tracking
Present model performance and insights to Credit, Risk, and Business Unit leaders
What You’ll Need
Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or quantitative field required. Master’s or Ph.D. degree preferred.
5+ years of relevant work experience with building and implementing machine learning models
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
Strong programming skills in Python
Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc.
Effective communication skills and ability to explain complex models in simple terms
Nice To Have
Experience in a financial organization
Experience with model documentation and delivering effective verbal and written communication
Experience in working closely with Product, Engineering, and Model Risk Management teams
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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
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