Data Scientist

About the role

Partnering with product, engineering, and business stakeholders, you will take problems from data exploration and modeling through deployment and monitoring, contributing production-grade components that customers and internal teams rely on to make decisions. You will apply established data science practice while learning and deploying the newer GenAI craft on real, customer-facing work.

What you'll do

• Build, test, and deploy analytical and machine learning solutions such as classification, forecasting, summarization, Q&A, recommendations, and decision support
• Train, tune, and evaluate machine learning models, and defend your choices with sound error analysis rather than a single accuracy number
• Build GenAI applications on LLM APIs: structured prompts with output schemas, retrieval-augmented generation over vector indexes
• Contribute to multi-step AI workflows for task and goals based agents
• Prepare, structure, and validate datasets so data quality and model reliability are earned, not assumed

What you need

• 3–6 years in data science & ai
• Machine learning
• SQL
• LLMs
• Python
• Statistics
• Spark
• B.Tech or B.E. or B.Sc or BCA

Good to have

• Power BI
• MLOps
• Databricks
• Unity
• Azure
• CI/CD