Staff Marketing Data Scientist - SoFi

The role

The Marketing Data Science team is looking to add a Staff Data Scientist who will help shape Home Loans/Home Equity targeting decisions and strategies. The Staff Data Scientist will be working closely with Marketing Managers, Business Units, Product & finance partners to build and grow SoFi Home Loans (HL) and Home Equity Loans (HE, including HELOAN & HELOC) products into a top choice for consumers to “Get Your Money Right”. 

What you’ll do:

• Develop a holistic HL & HE marketing and offer strategy spanning across multiple channels, and an end-to-end offer strategy framework to constantly experiment and optimize offer construct, product preference, and audience selection.

• Explore bureau data and other 3rd party non-FCRA data to improve the marketing strategies and conversion rate, and proactively identify and capitalize on opportunities to improve the acquisition funnel.
• Measure and analyze the effectiveness and ROI (return on investment) of the marketing strategies, make data-driven recommendations and drive informed actions.
• Work with experienced data scientists to own all of the analytics tasks in HL/HE, and potentially support the requests for other lending products.
• Transform business objectives into data-driven, actionable tactics and campaigns that generate immediate results and establish a robust foundation for sustained growth.
• Convert complex data into compelling narratives and concise presentations that inform and guide decision-making at the senior management level.
• Fulfill partner requests promptly by providing timely analysis, adeptly navigating ambiguity, and focusing on solution-oriented approaches.
• Collaborate cross functionally with Marketing, Business Unit, Risk, Finance, Product and Engineering, assist senior business leaders in the development of new features.

What you’ll need:

• Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
• 8+ years of relevant marketing experience in the financial services industry, with a focus on pre-screened/pre-approved campaigns.
• Strong preference for industry experience in Home Equity loans or Mortgage.
• 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.