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About the Role
SoFi is seeking a motivated Data Scientist for the Marketing Data Science team to support Lifecycle Marketing data enablement. This role focuses on building reporting, tooling, and self-serve foundations to help plan, execute, and measure member communications, improve data reliability, and support incrementality measurement.
Responsibilities
- 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.
- Develop and enhance self-serve reporting and AI-assisted analytics tooling for independent performance monitoring and question answering.
- 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.
- Contribute to documentation of data definitions, business logic, and reporting processes.
- Support incrementally measurement for lifecycle campaigns, including holdout and experiment design, analysis, and translating lift results into recommendations.
- Collaborate with LCM, Product, Engineering, and MDS partners to gather requirements, validate outputs, and translate findings into clear, actionable insights.
Requirements
- 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).
- 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.
- 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.
Skills
- SQL
- Python
- Tableau
- dbt
- Airflow
- Snowflake
- Incrementality measurement
- A/B testing
- Causal methods
- Data analysis
- Pipeline development
- Dashboarding
- Self-serve reporting
- AI-assisted self-serve analytics
Location
- Remote (excluding Hawaii, Alaska or Puerto Rico)
Work Type
- Full-time
Experience Level
- 2+ years of experience
Education Level
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
Benefits
- Comprehensive and competitive benefits
About the Company
- 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.
Equal Opportunity
- 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.