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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.
Skills Required
- 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 supporting marketing, lifecycle/CRM, communications, growth, or product analytics.
- Strong proficiency in SQL.
- Working knowledge of Python for data analysis and pipeline development.
- Experience building or maintaining dashboards and self-service reporting solutions.
- Familiarity with modern data stacks and workflow tools such as dbt, Airflow, and cloud data warehouses such as Snowflake, or willingness to learn.
- Experience working with structured datasets and applying consistent business logic across reporting outputs.
- Experience with incrementality measurement, including holdouts, A/B tests, or other causal methods.
- Strong attention to detail and comfort working with operational data requiring high accuracy.
- Clear communication and effective collaboration with cross-functional, non-technical partners.
What the Team is Saying
SoFi Compensation & Benefits Highlights
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Healthcare Strength — Core coverage is described as comprehensive—medical, dental, and vision—along with company‑paid life and disability insurance, HSA/FSA options, and access to mental‑health support including therapy sessions and EAP resources. Materials also note heavily subsidized U.S. medical premiums and no‑cost digital mental‑health care.
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Parental & Family Support — Public benefits list up to 12 weeks of fully paid parental leave, plus fertility/adoption/surrogacy support, paid caregiver leave, and subsidized backup child/elder care. Pet insurance and related family‑oriented resources are also highlighted.
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Affordable Benefits — Benefits pages describe significantly subsidized medical coverage, 100% employer‑paid premiums for certain dental/vision plans, and employer HSA contributions on HDHP options. These features point to lower out‑of‑pocket costs for several core benefits.
SoFi Insights
What We Do
SoFi wasn’t built to be a bank. Or a technology company. We were built for one mission: help people achieve financial independence so they can realize their ambitions. Redefining an entire industry isn’t easy work—and it’s not for the faint of heart. It takes a certain kind of team. People with diverse perspectives and expertise, united by a common sense of purpose. People willing to challenge assumptions but always do the right thing. People proving that innovation and responsibility don’t have to compete, but can come together to create something truly unconventional in the world. For the last eight years, we’ve been charting this new path forward. We call it The SoFi Way. At SoFi, we don’t just talk about culture: we live it. The SoFi Way is how we show up every day, how we make decisions, and how we build for our members, clients, and each other.
Why Work With Us
Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation Fintech company using innovative, mobile-first technology to help our members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront.
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SoFi Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
For the majority of our workforce who work on a hybrid schedule, the in-office requirement is a handful of days per month!
