Lead Data Scientist- Marketing

Overview

Lead Data Scientist (Marketing) to build and optimize marketing analytics and campaign modeling for direct mail and paid media.

What you'll do

• Design and build response models to predict customer engagement likelihood.
• Develop approval models to estimate lead approval probability for financial products.
• Analyze match backs to support direct mail and paid marketing decisions.
• Partner with marketing teams to design experiments, define KPIs, and measure effectiveness.
• Perform deep-dive analyses of direct mail and digital media campaign performance.
• Use model outputs and historical performance to drive targeting and segmentation.
• Ensure models are production-ready, monitor performance, and integrate results into execution pipelines.

What you'll need

• 8+ years of experience in data science focused on marketing, growth, or customer acquisition.
• Proven track record developing and deploying predictive models for marketing use cases.
• Strong proficiency in Python and ML libraries including Scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Advanced SQL skills and experience with large-scale relational databases.
• Deep understanding of statistical testing, experiment design, and campaign performance analysis.
• Exceptional communication skills to present findings to non-technical stakeholders.
• Master’s or Ph.D. in Statistics, Computer Science, Engineering, or a related quantitative field.

Nice to have

• Experience with direct mail targeting, paid media optimization, or acquisition funnel analytics.
• Background in fintech, credit products, or regulated industries.
• Familiarity with MLOps, particularly in the AWS ecosystem, and workflow tools like Apache Airflow.
• Experience with uplift modeling, lookalike modeling, or media mix optimization.

Details

• Hybrid work model with in-office days determined by location and discipline.