Staff Data Scientist, Invest at SoFi (San Francisco, CA or Remote)
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 fintech company 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, 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
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, [email protected].
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.
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 Rights
SoFi is committed to embracing diversity. 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 [email protected].
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
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.