Staff Marketing Data Scientist

- Lead the end-to-end Direct Mail (DM) campaigns, including pre-screened (PS) and invitation-to-apply (ITA) across products. This encompasses identifying the underwriting, marketing and suppression rules, clearly defining the data source and logic, executing the code, validating the result and file ingestion, managing the approval process and tracking the campaign performance.

- Ensure a clear understanding of campaign schedules and deliverables. Diligently manage the status of each step, noting any dependencies, delays, or challenges. Escalate issues to business partners or upper management as necessary and propose actions for resolution.

- Manage the offshore team, providing project assignments, technical guidance, and coaching. Act as the key liaison between onshore and offshore teams, translating onshore needs, coordinating campaign execution and validation, and collaborating on performance analysis and readouts.

- Partner with channel owners and marketing managers to develop strategies for optimizing and expanding target audiences, improving conversion rates, and maximizing return on investment (ROI).

- Support ad-hoc campaign execution or analytics requests outside of the BAU schedule, demonstrating flexibility to accommodate business needs, focusing on solutioning, and finding ways to optimize efficiency and cost.

- Work with Bureau and 3rd party partners to explore new data, models or ideas to drive business growth besides campaign execution.

- Proactively measure and analyze the effectiveness and ROI of marketing campaigns and strategies, providing data-driven recommendations and driving informed actions.

- Translate complex business objectives into actionable, data-driven tactics and campaigns that deliver immediate results and build a strong foundation for sustained growth.

- Convert complex data into clear, compelling narratives and concise presentations to inform and guide senior management decision-making.

- 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 the financial services industry, with a focus on pre-screened/pre-approved campaigns.

- 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.

- Ability to thrive in a dynamic, cross-functional environment with keen attention to detail.