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Marketing Data Scientist

Sofi

San Francisco, CA (CA - San Francisco) Remote permanent

Posted: February 3, 2026

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Quick Summary

We're looking for a Marketing Data Scientist to join our team in San Francisco, CA, where we're changing the way people think about and interact with personal finance.

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:

SoFi is seeking a highly motivated Data Scientist to join the Marketing Data Science (MDS) team. The MDS team plays a crucial role in enabling data-driven decisions across SoFi's Marketing organization through robust analytics, modeling, experimentation, and measurement.

This exciting new role will support the development and ongoing operation of an automated, end-to-end marketing offer measurement and reporting framework that tracks offer setup, execution, fulfillment, and post-campaign validation across all products. The work produced by this role directly supports accurate offer execution, operational monitoring, and compliance readiness.

The position will partner closely with a senior position on the same project area, focusing primarily on execution, implementation, and day-to-day reliability of offer reporting systems. This role is ideal for someone who enjoys building and maintaining high-quality data products, working within established frameworks, and collaborating across teams to ensure consistent and accurate reporting.

What you’ll do:

• Build and maintain automated offer campaign reporting pipelines, dashboards, and datasets under the guidance of a senior IC3..

• Implement standardized logic for offer eligibility, fulfillment tracking, and payout validation across marketing campaigns.

• Perform routine monitoring and data quality checks to ensure offer execution and fulfillment data is accurate, complete, and timely.

• Investigate and help resolve data discrepancies, delays, or failures related to offer reporting and fulfillment tracking.

• Support ongoing maintenance and enhancements of self-serve dashboards used by Marketing, Product, and Compliance stakeholders.

• Assist with time-sensitive or non-standard offer reporting needs by extending existing reporting frameworks.

• Contribute to documentation of data definitions, business logic, and reporting processes to ensure transparency and consistency.

• Collaborate with Marketing, Product, Engineering, and Compliance partners to gather requirements and validate reporting outputs.

What you’ll need:

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.

• 2–4 years of experience in data science, analytics, or data engineering roles supporting marketing, growth, or product analytics.

• Strong proficiency in SQL and working knowledge of Python for data analysis and pipeline development.

• Experience building or maintaining dashboards and self-serve reporting solutions (e.g., Tableau or similar BI tools).

• Familiarity with modern data stacks and workflow tools such as dbt, Airflow, and cloud data warehouses (e.g., Snowflake), or a strong willingness to learn.

• Experience working with structured datasets and applying consistent business logic across reporting outputs.

• Ability to follow established standards while contributing thoughtful improvements to data quality, efficiency, and maintainability.

• Strong attention to detail and comfort working with operational data that requires high accuracy.

• Clear communication skills and the ability to collaborate effectively with cross-functional, non-technical partners.

• Curiosity, reliability, and a growth mindset, with interest in developing toward greater ownership over time.

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 [email protected].

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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