Associate Marketing Data Scientist

The role:

SoFi is seeking a highly motivated Associate Data Scientist who will help build the best-class marketing strategy and drive account growth across products (including Credit Cards, Personal Loans, Student Loans, Home Loans, Money & Invest, Relay and SMB). This is an exciting opportunity for someone who is passionate in problem solving within a fast-paced environment.

The Marketing Data Science (MDS) team is responsible for enabling data driven decisions in SoFi’s Marketing organization through robust analytics, modeling, experimentation and measurement. Embedded in the Marketing organization, the team supports all marketing needs across three verticals:

• Product Strategy and Analytics
• Marketing Measurement and Digital Channel Analytics, and 
• Personalization

This new role will be working with senior data scientists and across functional business leads on marketing analytics, strategy development, project prioritization and turning ideas into realities. 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: 

• Work closely with experienced data scientists to develop end-to-end marketing strategies to constantly experiment and optimize offer construct, channel preference, and audience selection across products.
• Measure and analyze the effectiveness and ROI (return on investment) of the marketing strategies, make data-driven recommendations and drive informed actions.
• Define key performance indicators (KPIs), design reporting framework and develop self-service dashboards to empower organizational-wide access to actionable business insights.
• Proactively identify and capitalize on opportunities to improve the conversion rate in xbuy and throughout the acquisition funnel.
• 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 in Computer Science, Math, Physics, Engineering, or a quantitative field required; Master's degree preferred.
• Demonstrated intellectual curiosity and ability to quickly learn new technical skills.
• Positive, "can-do" attitude and strong team player with the capacity to thrive under pressure in a fast-paced, evolving environment while consistently meeting deadlines.
• Excellent problem-solving skills, capable of innovative thinking to achieve deliverables.
• Superior communication and interpersonal skills, with the ability to clearly articulate problems and solutions to team members and stakeholders.
• Ability to excel in a dynamic, cross-functional environment, with meticulous attention to detail and data.
• Strong relationship building and collaboration skills.

Nice to have:

• 1-2 years of experience in data science or a related field.
• Familiarity with marketing channels, analytics tools, and experimentation.
• Knowledge of the financial services industry and/or banking products.
• Proficiency in SQL, Python, R, Tableau, and Excel.
• Experience building data pipelines using DBT and Airflow.