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 Staff 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 focus on supporting the development and execution of top-tier marketing strategies specifically within the Direct Mail (DM) channel. The DM channel is a key driver of revenue and new account acquisition for SoFi, encompassing all lending products—including Personal Loans, Home Loans, Student Loan Refinance, In-school Loans, and Credit Cards—as well as Checking & Savings, Small Medium Business Loans, and future products.
This position is ideal for someone passionate about utilizing data for problem-solving in a fast-paced environment. It requires direct interface with marketing managers, channel owners, and third-party partners to collaboratively identify opportunities for improvement and enhanced efficiency.
What you’ll do:
- Lead the end-to-end Direct Mail (DM) campaigns, including pre-screened (PS) and invitation-to-apply (ITA) across products. This encompasses identifying the underwriting, marketing and suppression rules, clearly defining the data source and logic, executing the code, validating the result and file ingestion, managing the approval process and tracking the campaign performance.
- Ensure a clear understanding of campaign schedules and deliverables. Diligently manage the status of each step, noting any dependencies, delays, or challenges. Escalate issues to business partners or upper management as necessary and propose actions for resolution.
- Manage the offshore team, providing project assignments, technical guidance, and coaching. Act as the key liaison between onshore and offshore teams, translating onshore needs, coordinating campaign execution and validation, and collaborating on performance analysis and readouts.
- Partner with channel owners and marketing managers to develop strategies for optimizing and expanding target audiences, improving conversion rates, and maximizing return on investment (ROI).
- Support ad-hoc campaign execution or analytics requests outside of the BAU schedule, demonstrating flexibility to accommodate business needs, focusing on solutioning, and finding ways to optimize efficiency and cost.
- Work with Bureau and 3rd party partners to explore new data, models or ideas to drive business growth besides campaign execution.
- Proactively measure and analyze the effectiveness and ROI of marketing campaigns and strategies, providing data-driven recommendations and driving informed actions.
- Translate complex business objectives into actionable, data-driven tactics and campaigns that deliver immediate results and build a strong foundation for sustained growth.
- Convert complex data into clear, compelling narratives and concise presentations to inform and guide senior management decision-making.
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 relevant marketing experience in the financial services industry, with a focus on pre-screened/pre-approved campaigns.
- Proficiency in SQL, Python, and Tableau.
- Experience building data pipelines with Airflow, preferably in Snowflake.
- Demonstrated experience with experimentation and hypothesis testing.
- Knowledge of statistical modeling or machine learning is a plus.
- 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.
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.
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.
