Overview In this role you will design and implement statistically robust test-and-learn strategies to grow customers, boost engagement, and improve campaign performance. You will partner with cross-functional stakeholders to align testing with business objectives and create a forward-looking learning agenda. Expect to forecast financial returns and identify optimization opportunities across marketing initiatives. You'll lead data-driven insights and mentor teammates, shaping scalable analytics within Marketing Science for Consumer Banking & Lending.
Compensation / Benefits- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
Responsibilities- Plan marketing strategies with cross-functional partners, aligning test design to business objectives
- Design, consult on, and execute robust test-and-learn experiments
- Support monthly forecasting using historical data and compute ROI
- Evaluate marketing levers for optimization opportunities
- Develop and maintain a forward-looking learning agenda for campaign refinement
- Apply advanced analytics and programming to inform business decisions
- Participate in large-scale cross-functional planning and provide data science guidance
- Lead projects and mentor teammates
- Collaborate with peers and leaders to deliver data-driven recommendations
- Translate complex analyses into clear insights for both technical and non-technical audiences
- Ensure all work complies with legal, regulatory, and compliance standards
Key requirements- 5+ years of data science experience
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- 2+ years of experience in statistical design of experiments, analytics, or forecasting for marketing initiatives
- Experience consulting on analyses that drive business impact and refining analyses based on feedback
- Project management experience with the ability to handle multiple priorities and deadlines
- Leadership experience guiding decision-making and coordinating work across teams
- Technical proficiency with Excel, SQL, Python, R, SAS; experience with large datasets and data visualization tools
- strong collaboration and influence
- excellent communication across technical and non-technical audiences
- ability to work with senior stakeholders
- Excel
- SQL
- Python
