This is for Govt of India National E-Governance Dept.
If you are from other than Bangalore, it is also fine. Location can be any major city, depending upon specific part of AI mission or hybrid.
Designation: Data Scientist
How to apply?
Go to this link. We have our internal tool to take through the flow. There is an optional but preferred AI screening (there is no AI auto rejection)
https://app.careerplan.app/#/a/HAv194ncpLvL?jt=Data%20Scientist&cpReturnUrl=%2Fjob&job_reference_id=TC-JOB-20260901-MCIXLY
Designation: Data Scientist
Educational Qualification:
B.Tech / M.Tech / M.Sc. in Data Science, Computer Science, Statistics, or
Mathematics.
Specialized training or certification in machine learning is an advantage.
Research papers, case studies, or significant open source contributions(are
preferred)
Experience:
3–6 years of professional experience in machine learning or data analytics.
Hands-on experience in data cleaning, feature engineering, and statistical
modeling.
Exposure to large-scale structured and unstructured datasets.
Key Responsibilities:
1. Develop and validate predictive models and AI algorithms under the guidance of
senior data science leads.
2. Perform data exploration, visualization, and feature selection for model
development.
3. Implement classification, clustering, and forecasting models for government
datasets.
4. Support AI/ML engineers in model training and evaluation activities.
5. Create comprehensive documentation for models and data pipelines.
6. Participate in performance testing and quality validation of AI outputs.
7. Ensure alignment of data science processes with NeGD’s Responsible AI
principles.
Technical Competencies:
Machine Learning: Supervised/unsupervised learning, deep learning, NLP,
computer vision, time series forecasting, and ensemble methods
Programming Languages: Python (scikit-learn, pandas, numpy), R for statistical
analysis, SQL for data manipulation and analysis
ML Frameworks: TensorFlow, PyTorch, Keras, XGBoost, LightGBM, Hugging
Face Transformers for model development
Data Processing: Advanced pandas, Apache Spark (PySpark), data wrangling,
and large-scale data manipulation techniques
Statistical Analysis: Hypothesis testing, regression analysis, experimental
design, and statistical modeling techniques
Visualization Tools: Matplotlib, Seaborn, Plotly, Tableau, Power BI for data
exploration and results communication
Feature Engineering: Feature selection, dimensionality reduction (PCA, t-SNE),
feature scaling, and data transformation techniques
Model Evaluation: Cross-validation, performance metrics, ROC curves, confusion
matrices, and model interpretability (SHAP, LIME)
Database Technologies: SQL databases, NoSQL systems, and data warehouse
querying for analytics and model training
Pay: ₹500,000.00 - ₹2,000,000.00 per year
Application Question(s):
- What is your notice period / lead time to join ?
- Do you have any offer in hand?
Work Location: Hybrid remote in Bengaluru, Karnataka
