Staff Marketing Data Scientist — Direct Mail Growth

Sofi; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

SoFi is seeking a Staff Data Scientist for the Marketing Data Science (MDS) team in San Francisco. You will lead end-to-end Direct Mail campaigns and collaborate with marketing managers, channel owners, and partners to optimize audiences and ROI.

The role emphasizes data-driven decision making, experimentation, and scalable analytics to support revenue growth and new account acquisition.

Qualifications

• 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 financial services, focused on pre-screened campaigns.
• Proficiency in SQL, Python, and Tableau.
• Experience building data pipelines with Airflow, preferably in Snowflake.
• Demonstrated experience with experimentation and hypothesis testing.

Responsibilities

• Lead end-to-end Direct Mail campaigns, including data source definition, code execution, validation, and campaign performance tracking.
• Manage campaign schedules, dependencies, delays, and escalate issues to stakeholders.
• Oversee offshore team, providing guidance and coordinating campaign execution and validation.
• Collaborate with channel owners to optimize audience targeting and ROI.
• Support ad-hoc analytics requests and explore new data, models, or ideas for growth.
• Measure and analyze marketing ROI; translate objectives into data-driven tactics and campaigns.
• Convert complex data into clear narratives and concise management-ready presentations.

Skills

Data storytelling

Leadership

Communication

Problem solving

Team collaboration

Education

Bachelor's degree in CS/Math/Engineering

Master's degree preferred

Tools

SQL

Python

Tableau

Airflow

Snowflake

Job description

SoFi is seeking a Staff Data Scientist for the Marketing Data Science (MDS) team in San Francisco. You will lead end-to-end Direct Mail campaigns and collaborate with marketing managers, channel owners, and partners to optimize audiences and ROI.

The role emphasizes data-driven decision making, experimentation, and scalable analytics to support revenue growth and new account acquisition.