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SoFi

Staff Data Scientist

at SoFi

CA - San Francisco, NY - New York City



Employee Applicant Privacy Notice

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 financial services company and national bank 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.

The Role: 

We're hiring a Staff Data Scientist to join the team dedicated to building out SoFi's crypto products and services. Recent developments made a path for SoFi to begin to re-enter the space and expand on our product offerings with intuitive, secure and fully featured products across crypto Investing, Transfers, Payments, Custody and beyond.

Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/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. 

What you’ll do:

  • 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. 
  • Analyze and present customer behavior metrics, including funnel conversion, user churn, feature engagement, lifetime value (LTV), and cross-sell. You'll partner with product and marketing to design and execute A/B tests to improve these metrics.
  • Working with seasoned business leaders to support the launch of new products within the Crypto space. 
  • Build exploratory & predictive models to help decision makers understand customer behaviors and segmentation
  • Build foundational resources for RAG based querying approaches that are powered by an LLM
  • Advance the team’s capability to use Generative AI to build self serve tools & customer facing chat interfaces. 
  • Architect and implement scalable AI solutions on cloud platforms like AWS.
  • You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast. 

 

What you’ll need:

  • Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field. 
  • 7+ years of relevant work experience 
  • Intellectual curiosity and aptitude to pick up new technical skills 
  • Exceptional problem-solving skills
  • Ability to initiate and drive projects to completion with minimal guidance 
  • High EQ with ability to influence outcomes and communicate self-serve AI solutions to cross functional teams. 
  • 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
  • Familiarity with Generative AI systems, including RAG and LLMs
  • Strong relationship building and collaborative skills

Nice to have:

  • Experience with investments and digital assets (eg. Bitcoin, Ethereum)
  • Exposure to crypto trading platforms, market data & DeFi protocols.
  • Knowledge of crypto-specific regulatory environments (eg. SEC, CFTC etc.)
  • Experience in a financial organization
  • Experience with using DBT/Airflow to build Data Pipelines in Snowflake
  • Experience in working with nascent products (growth focus)
  • Experience in having built self serve tools for medium to large enterprises
  • Interest in advanced machine learning or generative AI
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.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
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 an inclusive culture. 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 accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
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.
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