Senior Data Scientist, Borrow

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 undergoing unprecedented transformation, and we’re at the forefront.

The Borrow Data Science team is seeking a Senior Staff Data Scientist to help support growth in our Home Loans business by improving SoFi’s ability to execute with data. This role involves leveraging analytical skills to create robust reporting, identify growth opportunities, and build machine‑learning models using Snowflake, Airflow, DBT, and Sage Maker.

• Identify high‑impact business opportunities to help members achieve their financial goals.
• Mentor and guide data scientists in the team, promoting best practices, strong technical decisions, coding standards, and thorough documentation.
• Develop and apply machine‑learning models to solve business problems.
• Evaluate and interpret the results of data analysis.
• Build strong relationships with stakeholders and present insights on a regular cadence, communicating findings to both technical and non‑technical stakeholders.
• Design and implement data collection and build data pipelines to deploy production‑level datasets.
• Collaborate with cross‑functional teams and business leaders to understand needs and offer data‑driven solutions.
• Act as a technical leader by mentoring and supporting the growth of less experienced team members.

• Master’s degree or above in a quantitative field (Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related).
• 10+ years of relevant experience leveraging data‑driven analysis to influence key decisions, preferably in a tech or finance company.
• Proven track record of working independently, proactively engaging with business stakeholders with minimal direction, and driving measurable business impact.
• Experience building data pipelines in Snowflake using Airflow and DBT.
• Strong programming skills in SQL and Python.
• Experience building data visualizations with Tableau, Looker, or other BI tools.
• Knowledge of varied ML algorithms, their applicability to different business problems, and experience deploying ML models at scale in production with monitoring metrics.
• Ability to work in a dynamic, cross‑functional environment with strong attention to detail.
• Effective communication and presentation skills, with the ability to explain complex analyses in simple terms to business leaders.
• Strong relationship‑building and collaborative skills.
• Exceptional problem‑solving abilities.

The base pay range for this role is listed below; the final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view our comprehensive benefits, visit the Benefits at So Fi 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 and 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  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, please navigate to our internal job board to apply to open roles.