Data Scientist, Personalization & Machine Learning

📋 Description

• Identify opportunities with product and business partners, define the decision a model will inform
• Build datasets, features, reproducible training workflows, and models.
• Translate predictions into product actions, design experiments, and use causal reasoning to
• Partner with engineers on integration, serving or batch scoring, monitoring, and rollout.
• Explain results and limitations clearly, document decisions, and build reusable methods.

🎯 Requirements

• Have built and evaluated applied ML systems that influenced a product or business decision, with
• Write effective Python and SQL and can investigate imperfect data, debug models, and make pragmatic
• Build and schedule production scoring pipelines using dbt, airflow, and flyte.
• Understand supervised learning, evaluation, experimentation, and the difference between predicting
• Can scope ambiguous problems, work across disciplines, and explain technical tradeoffs.
• Are motivated by helping people use AI effectively and by learning unfamiliar product domains.

🎁 Benefits

• Salary range: $347K – $445K
• Work with AI research and deployment company dedicated to ensuring general-purpose artificial
• Equal opportunity employer
• Reasonable accommodations for applicants with disabilities