Principal Specialist, Data Science & Analytics
INR 4750K-5750K (estimate) Senior-level Full Time
Tasks
- Apply data mining techniques
- Build validate and deploy machine learning models
- Communicate insights and value realization metrics to stakeholders
- Conduct statistical analysis
- Create data visualizations and reports
- Define KPIs and solution roadmaps
- Develop and maintain data pipelines
- Ensure data governance and Responsible AI compliance
- Handle model drift and continuous improvement
- Lead end to end data science delivery
- Manage model documentation lineage and auditability
- Own model lifecycle and MLOps handover
- Perform data exploration and feature engineering
- Set production deployment and monitoring standards
- Translate business needs into analytics solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Factory | AI Foundry | AWS | Artificial Intelligence | Auditability | Azure | Cloud Computing | Computer Science | Computer Vision | Data Governance | Data Mining | Data Modeling | Data Pipelines | Data Science | Data Visualization | Databricks | Experiment tracking | Feature Engineering | Generative AI | Lineage Tracking | MLOps | Machine Learning | Microsoft AI | Microsoft AI Factory | Microsoft AI Foundry | Model Monitoring | Model Validation | Model retraining | Optimization | Predictive Modeling | PyTorch | Responsible AI | SQL | Series forecasting | Statistical Analysis | TensorFlow | Time Series | Time Series Forecasting | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Artificial Intelligence Engineer | Data Scientist | Engineer | Intelligence Engineer | Learning Engineer | Machine Learning Engineer | Principal | Principal Artificial Intelligence Engineer | Principal Data Scientist | Principal Machine Learning | Principal Machine Learning Engineer | Scientist
Regions
Countries
States
Cities
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