Role Summary
Data Scientists bridge raw data and actionable business insights building predictive models, running experiments, and communicating findings to both technical and non-technical stakeholders.
Key Responsibilities
Extract insights from large datasets to inform strategic decisions
Develop predictive models and ML algorithms to forecast trends
Identify patterns, anomalies, and opportunities for improvement
Enable data-driven decisions through analytics and visualization
Requirements
5+ years in a data analyst, data scientist, or ML engineer role
Strong foundation in statistics, probability, and data modeling
Proficiency in Python, R, or SQL
Tech Stack
Category
Tools
Languages
Python, R, SQL
ML Libraries
Scikit-learn, TensorFlow, PyTorch
GenAI / LLMs
LangChain, OpenAI APIs, Hugging Face
MLOps
MLflow, Docker, Airflow
Cloud
AWS
