Staff Data Scientist

Degree in Math, Physics, Statistics, Economics, Computer Science, or similar (MS preferred). 7+ years of experience in data science, machine learning, or a related technical role. Hands-on experience with recommendation engines, targeting systems, ranking models, or personalization algorithms. Strong proficiency in Python for modeling and data manipulation. Advanced SQL skills and experience querying large, complex datasets. Solid foundation in statistics, hypothesis testing, and experimental design. Familiarity with cloud-based tools and platforms (e.g., AWS, GCP, Snowflake, dbt, Airflow). Proven ability to partner cross-functionally and influence product decisions with data.

Collaborate with data scientists to build and iterate on models for personalized recommendations, targeting, and user segmentation. Lead personalization initiatives spanning modeling, experimentation, and implementation. Build and deploy machine learning models such as recommendation systems, targeting algorithms, segmentation, and ranking models. Design and analyze A/B tests and other experiments to evaluate personalization strategies. Collaborate closely with Product, Engineering, Marketing, and Data Engineering to bring personalization models into production. Develop clean, maintainable code and contribute to reusable pipelines, feature stores, and evaluation frameworks. Translate data insights into compelling stories and actionable strategies for technical and non-technical audiences.