Job Description

There are 2 broad categories of Data science roles,

• Structured data (80-90%) - Predictive analytics, Forecasting, Likelihood of diagnosis, Estimate cost. Typically, batch
• T ext data - NLP, Deep Learning, GenAI, building low latency systems. Typically, real-time processing

Levels:

• Data Scientist (3-7 years)

Core Skills:

• Databricks
• Pyspark (Important skill as most of the feature engineering involves Big Data)
• Azure
• ML Libraries - PyTorch, deep learning, tensor flow
• Monitoring
• Ability to vibe code using GitHub Copilot, Claude Code or similar tools

NLP Specific skills:

• Prompt engineering
• Context engineering
• Agentic frameworks

Good to have skills:

• Deployment
• Containerization