Senior Data Scientist, Borrow

Full Timesenior

CA - San Francisco; NY - New York City Posted 28 days ago

Role Overview

SoFi is hiring a Senior Data Scientist, Borrow. This is a full-time role in CA - San Francisco; NY - New York City. Part of SoFi's Mobile hiring, posted 4 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Mobile roles is $150k-$203k (based on 72 comparable listings). Many employers share specifics during the interview process or after an initial screen.

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PythonSQLSnowflakeAirflowdbtTableauORGreenhouse

Job description

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

The Borrow Data Science team is seeking a Senior Data Scientist who will help drive growth in our Lending businesses by transforming raw data into a compelling narrative for success. This is an exciting role for a proactive data scientist who is naturally curious and possesses a deep-seated drive to uncover insights before they are even requested.

Success in this role hinges on your ability to act as a strategic partner; you are not just a technical executor but an analytical storyteller who can bridge the gap between complex data and business strategy. While you have the technical aptitude to leverage tools like SQL, Python, dbt, and Airflow to build robust pipelines in Snowflake, your true impact lies in your ability to lead cross-functional initiatives and influence the product roadmap through data-driven advocacy.

What You’ll Do

Drive Proactive Insights: Use your curiosity to dig deep into data, identifying trends and opportunities that others might miss, and proactively presenting these findings to leadership.
Champion AI Productivity: Act as a pioneer for AI integration within the team. Identify and implement AI tools and workflows that streamline data engineering tasks, accelerate analysis, and drive outsized business impact.
Analytical Storytelling: Translate complex quantitative analyses into simple, persuasive narratives that enable business leaders to make informed, high-stakes decisions.
Strategic Leadership: Partner with cross-functional teams to lead the optimization of core product decisions, including funnel conversion, experimentation, and unit economics.
Build Technical Foundations: Design and maintain scalable reporting pipelines in Snowflake using dbt and Airflow, ensuring business logic is efficiently encapsulated for company-wide use.
Champion KPI Consistency: Create frameworks that ensure a "single source of truth" for KPIs across various platforms and BI tools.
Mentor and Innovate: Stay ahead of industry trends and technical features to continuously improve our data stack, while mentoring peers on best practices in analytical rigor.

What You’ll Need

Education: B.S., M.S., or M.B.A. in a quantitative field (Statistics, Economics, Engineering, CS, Mathematics, etc.).
Experience: 5+ years of experience in an Analytics, Data Science, or Engineering role, preferably within Finance or Tech.
Communication & Influence: Exceptional communication skills with a proven track record of influencing stakeholders and leading projects from conception to completion.
Innate Curiosity: A self-starter mindset with a passion for problem-solving and an ability to thrive in dynamic, ambiguous environments.
Technical Proficiency: Strong programming skills in SQL and Python, with hands-on experience using dbt and Airflow to build data pipelines in Snowflake.
Data Visualization: Experience building intuitive and impactful dashboards in tools like Tableau to support your storytelling.
Collaboration: Strong relationship-building skills and the ability to work seamlessly across diverse, cross-functional teams

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.

About SoFi

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Frequently Asked Questions

How do I apply for the Senior Data Scientist, Borrow position at SoFi?

Use the Apply button above to submit your application directly to SoFi. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Data Scientist, Borrow position at SoFi located?

This position is based in CA - San Francisco; NY - New York City. SoFi has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Data Scientist, Borrow at SoFi earn?

SoFi has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Data Scientist, Borrow role at SoFi posted?

This role was posted on June 18, 2026 (28 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Data Scientist, Borrow role at SoFi require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. SoFi lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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