Senior Data Scientist

Tech Stack

Responsibilities

• Develop traditional machine learning models (classification, regression, anomaly detection) from proof of concept through production deployment.
• Own the end-to-end model lifecycle including feature engineering, validation, performance monitoring, drift detection, and retraining.
• Build agentic internal analytics products and natural-language interfaces with LLMs to enable self-serve querying for non-technical stakeholders.
• Write production-grade Python and SQL code with version control, code review, testing, and continuous integration/continuous delivery (CI/CD) pipelines.
• Partner with engineering to productionize models and establish standards for AI-assisted and agentic analytics workflows across the team.

Benefits

• Equity
• Health Insurance
• Parental Leave
• Remote Work

Culture

Requirements