Social Finance, LLC seeks Senior Data Scientist, Pricing in New York, NY:

Job Duties: Develop and test pricing strategies across different consumer lending products that optimize
profitability through the improvement of revenue, credit risk, and cost per customer acquisition.
Leverage pricing models to simulate profitability from pricing strategies and forecast changes to SoFi’s
customer credit portfolio. Build reporting pipelines and dashboards to deliver results of pricing
strategies to the business. Help manage the pricing team’s data architecture by building data pipelines
to extract, load, and transform data from various sources into Snowflake. Build intuitive and analytical
models to help decision makers understand the price elasticity of customer segments. Run significance
tests and continuously discover trends in customer behavior to inform decision making with a high level
of confidence. Routinely present analyses to SoFi business leaders. Develop, deploy, monitor, and
continuously improve price elasticity and other pricing related models. Leverage in-house, external, and
other open-source machine learning software/algorithms. Perform ongoing monitoring of the models
through construction of dashboards and KPI tracking. Interact with broader engineering teams for model
deployment. Present model performance and insights to business leaders. Telecommuting is an option.

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, or
closely related quantitative discipline, and two (2) years of experience in job offered or in any
occupation in a related field.

Special Skill Requirements: (1) SQL; (2) Python; (3) R; (4) Tableau; (5) Databricks; (6) Airflow; (7)
Snowflake; and (8) SAS. Any suitable combination of education, training and/or experience is acceptable.
Telecommuting is an option.

Salary: $190,000.00 - $218,500.00 per annum.
Submit resume with references to: Req.# 23-136048 at: ATTN: HR, jobadverts@sofi.org.

#LI-DNI