- Minimum 4-6 years of experience in Data Science, Statistical Analysis, Predictive Analytics, Machine Learning, Business Intelligence, and Artificial Intelligence (AI).
Role Overview
The Data Scientist shall transform enterprise data into actionable insights through statistical analysis, predictive modeling, AI, and visualization. The role includes building analytical models, forecasting, anomaly detection, business intelligence dashboards, and decision-support systems.
Scope of Work
- Collect, clean, and prepare structured and unstructured data.
- Build predictive and prescriptive analytics models.
- Perform statistical analysis and hypothesis testing.
- Develop dashboards and executive reports.
- Build forecasting models.
- Conduct feature engineering and model evaluation.
- Develop AI-powered analytics solutions.
- Collaborate with business teams to solve analytical problems.
Key Responsibilities
- Data extraction using SQL.
- Data preprocessing and feature engineering.
- Predictive modeling.
- Classification, regression, and clustering.
- Time-series forecasting.
- NLP analytics.
- Customer segmentation.
- Fraud detection.
- Recommendation systems.
- Dashboard development.
- Data storytelling.
- Model monitoring.
Educational Qualification
- B.Tech./B.E./M.Tech./MCA/M.Sc. in Statistics, Mathematics, Computer Science, Data Science, Artificial Intelligence (AI), or a related discipline.
Required Technical Skills
Programming
- Python
- R (Preferred)
- SQL
Data Science
- Statistics
- Probability
- Hypothesis Testing
- Regression
- Classification
- Clustering
- Time Series
- Bayesian Analysis
- Explainable AI (XAI)
- Data Governance
- Big Data
- Data Warehousing
- Feature Store
- MLOps
- LLM Analytics
Preferred Certifications
- Microsoft Data Scientist Associate
- Google Professional Data Engineer
- IBM Data Science Skilled
- SAS Certified Data Scientist
- Databricks Data Scientist
📌 Data Scientist - IPR - Delhi (New Delhi)
🏢 National Institute for Smart Government (NISG)
📍 New Delhi
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