Social Finance, Inc. seeks Staff Data Scientist, Invest in San Francisco, CA:
Job Duties: Create data driven solutions for amazing product and business managers to identify strategic
opportunities, measure product KPIs, build experiments, and drive informed actions. Statistical analysis
of customer behavior metrics, such as funnel conversion, user churn, invest product feature
engagement, unit economics and cross-sell metrics. Work with product and marketing partners to
design A/B tests & machine learning models to improve these metrics. Own end-to-end product
analytics workflow including metric definition, engineering instrumentation, database transaction
capture and analytical processing. Build data structures and ETL pipelines to transfer data into
Snowflake data warehouse. Act as a curator of data by defining, instrumenting, and tracking necessary
analytics of our products by working cross functionally with engineering and product teams. Build
scalable machine learning solutions to predict user behavior and make personalized & relevant
recommendations to users. Telecommuting is an option.
Minimum Requirements: Master’s degree, or foreign equivalent, in Business Analytics, Engineering, or
closely related quantitative discipline, and two (2) years of experience in job offered or related field, OR
Bachelor’s degree, or foreign equivalent, in Business Analytics, Engineering or closely related
quantitative discipline and five (5) years of progressively responsible experience in job offered or related
field.
Special Skill Requirements: (1) SQL; (2) Python; (3)R Programming; (4) Big Data Tools; (5) AWS Full Stack;
(6) A/B Testing; (7) Data Visualization; (8) Machine Learning; (9) Recommender Engines; and (10) Airflow
Automation. Any suitable combination of education, training and/or experience is acceptable.
Telecommuting is an option.
Salary: $197,600.00 - $227,240.00 per annum.
Submit resume with references to: Req.# 22-19039 at: ATTN: Rae Myles, rmyles@sofi.org.

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