
Data / Ml Scientist (Clustering, Trends & Root-cause)
1 week ago
Qualifications
- 4 + years in data science or machine-learning roles (NLP or time-series a plus).
- Hands-on with clustering, anomaly detection, and causal-inference techniques.
- Strong Python (pandas, scikit-learn, PyTorch/TensorFlow) and solid SQL.
- Experience turning notebooks into production jobs via Airflow, Flyte, or similar.
- Comfortable with vector databases and similarity search (Faiss, PGVector, etc.).
- You think in experiments, communicate results clearly, and love shipping incrementally.
Key Responsibilities
- Pattern Discovery - Build unsupervised / semi-supervised models (HDBSCAN, metric
learning, spectral, etc.) that group similar issues and surface them for human review.
- Trend Detection & Forecasting - Design change-point and anomaly detectors, then
forecast issue volume with Prophet, NeuralProphet, or your tool of choice.
reveal how pain points bounce between channels.
suggest likely drivers and remediation actions.
- Active-Learning Loops - Create feedback workflows that let analysts merge/split
clusters and continuously improve model accuracy.
- Experimentation & Metrics - Define success criteria, run controlled experiments, and
publish clear, visual results for the team.
- Collaboration - Partner with the LLM, platform, and dashboard engineers to deliver
end-to-end features—then measure the lift.
Pay: Up to ₹2,000,000.00 per year
**Benefits**:
- Provident Fund
**Experience**:
- python: 2 years (preferred)
- Data science: 4 years (preferred)
Work Location: Remote
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