Senior Marketing Data Scientist

SoFi•San Francisco, CA

About The Position

The role: SoFi is seeking a highly motivated Senior 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 new role will be working with senior data scientists to develop, optimize and implement the marketing strategies for Sofi SIPS(Save, Invest, Protect and Spend). Marketing Data Scientists will partner closely with marketing managers and leadership to design, analyze, and optimize marketing strategies that drive member growth and revenue. If you are interested in working with highly quantitative teammates and elevating how data and analytics drives marketing and business decisions, this role is for you. What you’ll do: Drive the growth of business and member products by developing comprehensive marketing strategies, which includes data analysis, model creation, strategy development, and performance monitoring across all channels. Collaborate with marketing managers, channel owners, and external partners to identify and strategize on new opportunities and initiatives. Analyze and measure the effectiveness of the marketing strategies, including funnel efficiency (click to convert), CPA (cost per acquisition) and ROI (return on investment), to provide data-driven recommendations and drive informed actions. Design, analyze, and interpret experiments (A/B tests, quasi-experiments) to inform marketing and growth decisions. Design and validate the complete campaign lifecycle, including process flow, data pipeline, model scoring, and execution, in collaboration with the campaign execution team to ensure timely and accurate campaign selections. Define key performance indicators (KPIs), design reporting framework and develop self-service dashboards that provide clear visibility into product and business performance. Perform deep-dive analyses across funnels, user behavior, monetization, and retention to identify growth and efficiency opportunities. Transform business objectives into data-driven, actionable tactics and campaigns that generate immediate results and establish a robust foundation for sustained growth. Fulfill partner requests promptly by providing timely analysis, adeptly navigating ambiguity, and focusing on solution-oriented approaches.. Communicate insights clearly to senior leadership and partners, converting complex data into compelling narratives.

Requirements

Bachelor's degree in Computer Science, Math, Physics, Engineering, or a quantitative field required; Master's degree preferred.
5+ years of experience in data science/analytics role
Strong communication skills and comfort working directly with Product and Business leaders
Strong programming skills in SQL, Python/R and proficiency in Tableau
Experience in growth, lifecycle, or funnel optimization problems
Experience building data pipelines with Airflow, preferably in Snowflake.
Demonstrated experience with experimentation design, hypothesis testing, and statistical analysis
Ability to operate effectively in ambiguous, fast-moving product environments
Ability to thrive in a dynamic, cross-functional environment with keen attention to detail.
Ability to work independently and as part of a team.
You should be able to initiate and drive projects to completion
Demonstrate strong business acumen and curiosity, with excellent communication and presentation skills, including the ability to present to leadership

Nice To Haves

Knowledge of statistical modeling or machine learning is a plus.
Knowledge of experimentation platforms (e.g., Statsig or similar)
Strong preference for industry experience in financial service and familiarity with banking products and marketing channels.

Responsibilities

Drive the growth of business and member products by developing comprehensive marketing strategies, which includes data analysis, model creation, strategy development, and performance monitoring across all channels.
Collaborate with marketing managers, channel owners, and external partners to identify and strategize on new opportunities and initiatives.
Analyze and measure the effectiveness of the marketing strategies, including funnel efficiency (click to convert), CPA (cost per acquisition) and ROI (return on investment), to provide data-driven recommendations and drive informed actions.
Design, analyze, and interpret experiments (A/B tests, quasi-experiments) to inform marketing and growth decisions.
Design and validate the complete campaign lifecycle, including process flow, data pipeline, model scoring, and execution, in collaboration with the campaign execution team to ensure timely and accurate campaign selections.
Define key performance indicators (KPIs), design reporting framework and develop self-service dashboards that provide clear visibility into product and business performance.
Perform deep-dive analyses across funnels, user behavior, monetization, and retention to identify growth and efficiency opportunities.
Transform business objectives into data-driven, actionable tactics and campaigns that generate immediate results and establish a robust foundation for sustained growth.
Fulfill partner requests promptly by providing timely analysis, adeptly navigating ambiguity, and focusing on solution-oriented approaches.
Communicate insights clearly to senior leadership and partners, converting complex data into compelling narratives.