Data Scientist

2+ years of relevant work experience in building and implementing machine learning and statistical models.

Excellent logic reasoning and communication abilities when interpreting business requirements and translating them into effective data solutions.

Strong skills in writing efficient SQL queries and Python code to create complex attributes, especially with large datasets.

Strong sensitivity to details in data and proactively investigate them to uncover unknown patterns.

Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc.

Demonstrated sophisticated experience in building efficient and reliable pipelines that interact with large datasets stored in SageMaker and Snowflake, automating recurring processes such as data extraction and processing, feature selection, model training, model monitoring, and generating documentation templates to support reproducibility and cross-functional collaboration.

The Risk Data Science team is looking for a Data Scientist/Senior Data Scientist to develop advanced machine learning and statistical 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 for underwriting, portfolio management, loss mitigation, and loss forecasting etc.

These tasks involve researching and applying state of the art modeling methodologies to solve complex business problems.

Develop, implement, and continuously improve machine learning and statistical models that support various credit, risk, and operational procedures including but not limited to underwriting, portfolio management, loss mitigation, and loss forecasting, etc.

Present model performance and insights to Credit, Risk, and Business Unit leaders.

Proactively identify opportunities to apply advanced modeling approaches to solve complex business problems.