Senior Applied Data Scientist, Personalization

What you'll do

• Develop and manage state-of-the-art predictive algorithms to automate and optimize decisions at scale.
• Build and augment AI-driven digital recommendation products using deep learning and machine learning techniques.
• Perform data exploration, analysis, and implementation of algorithmic solutions based on specific requirements.
• Deploy production-ready code while maintaining a well-tested codebase with relevant documentation.
• Evaluate models through offline analysis on large datasets and online experimentation including statistical interpretation.
• Translate complex business problems into scalable data science solutions for personalization and search.
• Use generative AI tools to accelerate development, experimentation, and model delivery.
• Present technical findings and project results to both technical and non-technical stakeholders.

What we're looking for

• MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, or relevant work experience.
• 3 plus years of experience developing machine learning models using deep learning frameworks such as PyTorch or JAX.
• Experience building recommendation, personalization, search, ranking, or retrieval systems at scale.
• Strong programming skills in Python and SQL.
• Demonstrated experience with optimization, statistics, probability, and experimental design.
• Experience evaluating models through offline analysis on large-scale datasets and online experimentation.
• Knowledge of large-scale data processing and analytics platforms such as Spark.
• Extensive experience leveraging generative AI tools to accelerate development, experimentation, and model delivery.