Senior Data Scientist

SoFi•New York, NY

28d

About The Position

We are seeking a full stack Senior Data Scientist who will help shape business strategy and product development decisions through data-driven insights for SoFi’s financial services products. This is an exciting role for someone to make a direct impact on the product strategy and revenue of SoFi. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.

Requirements

Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
4+ years of relevant work experience
Intellectual curiosity and aptitude to pick up new technical skills
Exceptional problem-solving skills
High EQ with ability to influence outcomes and communicate technical content to general audiences
Ability to initiate and drive projects to completion with minimal guidance
Ability to communicate assertively and succinctly therefore being able to influence stakeholders to make data driven decisions.
Strong programming skills in SQL, Python and proficiency in Tableau
Experience with experimentation and hypothesis testing
Ability to work in a dynamic, cross-functional environment, with strong attention to detail
Strong relationship building and collaborative skills

Nice To Haves

Experience in a financial organization
Experience in working with growth-focused products
Familiarity & interest in Generative AI systems, including RAG and LLMs

Responsibilities

Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports.
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.
Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics.
Working with seasoned business leaders to understand revenue, costs and profitability across various revenue streams.
Analyze and perform statistical analysis on data that underlies our product experiments.
Build exploratory & predictive models to help decision makers understand customer behaviors and segmentation
You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast.

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