Senior Data Scientist

Salary

Core Qualifications

Preferred Qualifications

Key Responsibilities

• •Own end-to-end delivery of data science projects from problem scoping through production deployment.
• •Define and ship modeling methodology for data products.
• •Build production-quality Python and PySpark on Databricks.
• •Partner with Data Engineering to define data requirements and validate pipelines.
• •Build and operate AI systems using RAG, LLM-augmented modeling, and Graph Neural Networks.
• •Integrate LLMs and agentic workflows into production ML pipelines.
• •Drive technical design for modeling components.
• •Translate business requirements into modeling solutions.
• •Mentor data scientists through structured feedback and design review.
• •Establish and operate MLOps practices: experiment tracking, pipeline orchestration, model monitoring.