Data Scientist Engineer Advisor
NTT Ltd. (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy machine learning models for forecasting, classification, recommendation, optimization, clustering, and anomaly detection in enterprise-scale data platforms.
- Collaborate with consultants, client stakeholders, and cross-functional teams to translate business problems into analytical tasks and communicate model insights effectively.
- Support end-to-end model lifecycle including data preparation, feature engineering, training, validation, deployment support, monitoring, and continuous improvement using platforms like Snowflake, Databricks, and Microsoft Fabric.
Minimum Requirements
- 3-5 years of commercial experience in Data Science, Machine Learning, or Advanced Analytics roles.
- Strong hands-on experience in Python (including Scikit-Learn and at least one of XGBoost, LightGBM, TensorFlow, or PyTorch) and SQL for data analysis and model development.
- Solid theoretical and practical knowledge of supervised and unsupervised learning, statistical modeling, feature engineering, validation, model evaluation, and optimization.
- Work Experience Required: 3-5 years; Location: Bangalore, Karnataka, India; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in moving machine learning models beyond exploratory analysis to documented, testable, and reusable assets with exposure to pilot or production environments.
- Familiar with MLOps practices including model versioning, reproducibility, deployment handover, and monitoring for model performance.
- Comfortable working collaboratively in mixed technical and business teams and skilled at communicating model assumptions, limitations, and business impact, with awareness of responsible AI, bias, and data quality considerations.