Marketing Data Scientist at SoFi

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 role will support Lifecycle Marketing (LCM) data enablement - building the reporting, tooling, and self-serve foundations that help LCM leads plan, execute, and measure member communications. The work includes improving data reliability, partnering with Engineering on data products, enabling AI-assisted self-serve analytics, and supporting incrementality measurement so the team can distinguish true campaign lift from correlational reporting. The position will report to a Staff Marketing Data Scientist and partner day-to-day with a Senior Marketing Data Scientist who oversees LCM lead communication and project management. You will focus on execution, implementation, and day-to-day reliability of LCM reporting and tooling. This role is ideal for someone who enjoys building high-quality data products, working with both technical and marketing partners, and growing toward greater ownership over time. What you’ll do: Build and maintain automated reporting pipelines, dashboards, and datasets that support Lifecycle Marketing performance Improve LCM data foundations by implementing standardized logic, definitions, and quality checks across communications channels (e.g., email, push, in-app, and related CRM activity). Develop and enhance self-serve reporting and AI-assisted analytics tooling so LCM stakeholders can monitor performance and answer routine questions independently. Investigate and help resolve data discrepancies, delays, or pipeline issues affecting LCM reporting and campaign measurement. Partner with Engineering and Marketing Data Science to productionize data products, automate recurring workflows, and improve reliability of LCM datasets. Support time-sensitive stakeholder requests by extending existing reporting frameworks rather than creating one-off, unmaintainable analyses. Contribute to documentation of data definitions, business logic, and reporting processes so LCM leads and MDS partners can work from a shared source of truth. Support incrementally measurement for lifecycle campaigns, including holdout and experiment design, analysis, and translating lift results into recommendations for stakeholders. Collaborate with LCM, Product, Engineering, and MDS partners to gather requirements, validate outputs, and translate findings into clear, actionable insights. What you’ll need: Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field. 2+ years of experience in data science, analytics, or data engineering roles supporting marketing, lifecycle/CRM, communications, 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); interest in AI-assisted self-serve analytics is a plus. 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; familiarity with marketing communications or CRM data is a plus. Experience with incrementality measurement (e.g., holdouts, A/B tests, or other causal methods) is preferred. 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 accommodations@sofi.com. We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico 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.

Requirements

Must-haves

Employee Applicant Privacy Notice
Build and maintain automated reporting pipelines, dashboards, and datasets that support Lifecycle Marketing performance
Improve LCM data foundations by implementing standardized logic, definitions, and quality checks across communications channels (e.g., email, push, in-app, and related CRM activity).
Develop and enhance self-serve reporting and AI-assisted analytics tooling so LCM stakeholders can monitor performance and answer routine questions independently.
Investigate and help resolve data discrepancies, delays, or pipeline issues affecting LCM reporting and campaign measurement.
Partner with Engineering and Marketing Data Science to productionize data products, automate recurring workflows, and improve reliability of LCM datasets.
Support time-sensitive stakeholder requests by extending existing reporting frameworks rather than creating one-off, unmaintainable analyses.
Contribute to documentation of data definitions, business logic, and reporting processes so LCM leads and MDS partners can work from a shared source of truth.
Support incrementally measurement for lifecycle campaigns, including holdout and experiment design, analysis, and translating lift results into recommendations for stakeholders.
Collaborate with LCM, Product, Engineering, and MDS partners to gather requirements, validate outputs, and translate findings into clear, actionable insights.
Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
2+ years of experience in data science, analytics, or data engineering roles supporting marketing, lifecycle/CRM, communications, growth, or product analytics.
Strong proficiency in SQL and working knowledge of Python for data analysis and pipeline development.
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.
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.

Nice-to-haves

Experience building or maintaining dashboards and self-serve reporting solutions (e.g., Tableau or similar BI tools); interest in AI-assisted self-serve analytics is a plus.
Experience working with structured datasets and applying consistent business logic across reporting outputs; familiarity with marketing communications or CRM data is a plus.
Experience with incrementality measurement (e.g., holdouts, A/B tests, or other causal methods) is preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpython

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