Job Description
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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:
The Marketing Data Science (MDS) team is seeking an experienced Machine Learning professional to join the group. This team is essential for supporting SoFi's Marketing organization by providing data-driven decision-making through rigorous analytics modeling experimentation and measurement.
The primary responsibility of this role is to build and scale machine learning models that drive marketing and growth across SoFi's product suite. The focus will be on developing predictive models for key areas: acquisition conversion retention and customer lifetime value (LTV) utilizing behavioral transactional and credit data. This role requires strong collaboration across teams to identify the business needs manage the end-to-end model development cycle implement the model in production and monitor performance while maintaining strict compliance with all regulatory standards.
What you’ll do:
- Design develop and deploy machine learning models to optimize customer acquisition onboarding and lifecycle engagement across financial products (e.g. loans credit cards money invest crypto and etc).
- Build predictive models for critical business outcomes including Customer Lifetime Value (LTV) conversion propensity cross-sell/upsell effectiveness and retention across various channels (e.g. direct mail email in-app Operations).
- Leverage structured and unstructured data (e.g. behavioral signals transaction data credit attributes) to drive audience segmentation and personalization at scale. Develop and maintain a robust feature store to accelerate the end-to-end model development lifecycle.
- Build experimentation frameworks to support A/B testing and measure the incremental business impact of the models. Work with the other team members to incorporate the models in marketing/campaign strategies.
- Collaborate with Fair Lending (FL) and Model Risk Management (MRM) to ensure the models and targeting strategies adhere to fair lending laws privacy regulations and responsible marketing practices.
- Support the efficient scoring and implementation of models through both real-time and batch processes ensuring the timely availability of scores for marketing execution and deep analytics.
- Monitor model performance with a focus on business outcomes (conversion retention revenue risk-adjusted returns) and continuously iterate based on insights.
- Partner closely with team members within MDS and key business stakeholders on defining business requirements prioritizing the model pipeline providing development updates and monitoring performance.
- Stay at the forefront of modeling data and AI innovations to support scalable marketing growth in financial services.
What you’ll need:
- Bachelor's degree in Computer Science Math Physics Engineering or a quantitative field required; Master's degree preferred.
- 8+ years of experience in machine learning data science or applied AI ideally in marketing fintech or consumer tech.
- Strong proficiency in Python SQL and ML frameworks (scikit-learn PyTorch TensorFlow).
- Familiarity with ML governance model monitoring and compliance frameworks (MRM Fair Lending etc.) is a plus.
- Experience with LLMs prompt engineering and AI application development preferred.
- Demonstrated experience with experimentation and hypothesis testing.
- High intellectual curiosity and a quick learner of new technical skills.
- Ability to initiate and drive projects independently to completion and ability to clearly communicate technical information to diverse audiences.
- Strong relationship-building and collaborative skills.
- Ability to thrive in a dynamic cross-functional environment with keen attention to detail.
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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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Employees engage in a combination of remote and on-site work.
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Date Posted
04/21/2026
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