Senior Data Scientist

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 are seeking a full stack Senior Data Scientist who will help shape business strategy and product development decisions through data-driven insights.

This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi, supporting SoFi’s B2B business channel called SoFi At Work.

The goal of this platform is to provide new ways for our partners to help their employees get their money right across every life stage.

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.

This role

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.
• 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.

• 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.
• Build self-service systems to enable others in the organization to leverage your work.
• Analyze and perform statistical analysis on data that underlies product experiments.
• Build 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.

What you’ll need :

• 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
• Ability to initiate and drive projects to completion with minimal guidance
• High EQ with ability to influence outcomes and communicate technical content to general audiences
• 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
• Experience with using DBT / Airflow to build Data Pipelines in Snowflake

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!

Pay range : $128,000.00 - $240,000.00

Payment frequency : Annual

This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above.