Data Scientist

• Develop and deploy machine learning models for audience segmentation, user scoring, and predictive response modeling.
• Build data pipelines that transform raw behavioral, demographic, and engagement data into model-ready features.
• Partner with engineering teams to productionize models within real-time and batch processing environments (e.g., Spark, Airflow, AWS).
• Experiment with natural language processing (NLP) and content relevance algorithms to improve personalization of email subject lines and messaging.
• Analyze email deliverability, open/click rates, and conversion signals to identify patterns and optimize campaign strategies.
• Collaborate cross-functionally with product managers, marketers, and data engineers to define data-driven solutions.
• Continuously evaluate and improve model performance, bias mitigation, and explainability.
• Contribute to internal ML tooling, MLOps, and feature store development to accelerate experimentation and deployment.

Marketing Data Scientist

Data Scientist I, Real World Data Science

Data Scientist II

Data Scientist

Junior Data Scientist

Senior Data Scientist, Product Growth