
Data Scientist
3 days ago
**Key Responsibilities**
- **Pattern Discovery**: Build unsupervised/semi-supervised models (e.g., HDBSCAN, metric learning, spectral) to surface issue clusters.
- **Trend Detection**: Design anomaly detectors and forecast issue volumes using tools like Prophet or NeuralProphet.
- **Cross-Channel Correlation**: Link customer signals across support channels to trace issue journeys.
- **Root Cause Analysis**: Use causal graphs or lightweight GNNs to identify drivers and recommend fixes.
- **Active Learning**: Develop workflows allowing analysts to refine model clusters and feedback loops.
- **Experimentation**: Define success metrics, run controlled experiments, and communicate results clearly.
- **Collaboration**: Work closely with LLM, platform, and dashboard teams to deliver and iterate on features.
**Required Qualifications**
- 4+ years in data science/ML roles (bonus for NLP or time-series experience).
- Strong with clustering, anomaly detection, causal inference.
- Proficient in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL.
- Experience productionizing models (e.g., via Airflow, Flyte).
- Familiarity with vector databases and similarity search (e.g., Faiss, PGVector).
- Experimental mindset with clear communication and incremental delivery focus.
Pay: ₹600,000.00 - ₹1,200,000.00 per year
Schedule:
- Day shift
**Experience**:
- Data science: 4 years (required)
- Machine learning: 4 years (required)
Work Location: Remote
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