Job Description

Job Title: Data Scientist (N2/N3 Level)

Organization Name: NEC Corporation of India Ltd.

Reporting Relationship: Abisanka Mishra

Experience Required: 3–4 Years

We are looking for a motivated and analytical Data Scientist (N2/N3 Level) with 3–4 years of hands-on experience in data science and machine learning. The candidate will be responsible for end-to-end model development including data preprocessing, statistical analysis, predictive modeling, validation, and deployment support while collaborating with cross-functional teams.

Key Responsibilities

• Perform data collection, cleaning, preprocessing, and feature engineering on structured and unstructured datasets.
• Conduct exploratory data analysis (EDA) and statistical analysis.
• Develop, validate, and optimize predictive and classification models.
• Implement machine learning algorithms for business use cases.
• Manage the complete ML lifecycle: data preparation → model building → evaluation → performance tuning.
• Collaborate with cross-functional teams to translate business problems into analytical solutions.
• Document methodologies, model assumptions, and performance metrics.
• Support model deployment and monitoring activities.

Technical Skills Required

Programming

• Strong hands-on experience in Python.
• Proficiency in Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn.
• Experience with XGBoost / LightGBM (Preferred).

Data Processing

• Data cleaning and preprocessing techniques.
• Feature engineering.
• Handling missing data and outliers.

Statistics & Modeling

• Strong understanding of Probability & Statistics.
• Hypothesis testing.
• Regression analysis and classification techniques.
• Experience with Linear & Logistic Regression, Decision Trees, Random Forest, Gradient Boosting, KNN, and SVM.

Model Evaluation & Tuning

• Model evaluation metrics: Accuracy, Precision, Recall, F1-score, ROC-AUC.
• Cross-validation techniques.
• Hyperparameter tuning.

Good to Have

• Experience in model deployment.
• Knowledge of SQL.
• Exposure to cloud platforms (Azure/AWS/GCP).
• Understanding of MLOps concepts.

Soft Skills

• Strong analytical and problem-solving ability.
• Good communication skills.
• Ability to work independently and in team environments.
• Strong documentation and presentation skills.