Guide advanced analytics squads across exploration, model design, and evaluation to ship production-grade intelligence.
Own EDA frameworks, hypothesis design, and feature engineering guidelines
Curate high-quality datasets and evaluate data readiness for modeling
Select algorithms aligned to business latency, interpretability, and cost targets
Review experiments, statistical rigor, and validation artifacts
Coach data scientists on storytelling, reproducibility, and peer reviews
8+ years in applied data science with shipped models in production
Robust Python, PySpark, TensorFlow/PyTorch, and MLflow experience
Depth in classical ML, deep learning, and evaluation metrics
Hands-on with experimentation stacks, A/B testing, and causal inference
Proven leadership mentoring senior ICs and cross-domain pods
Python
PySpark
TensorFlow
PyTorch
MLflow
Machine Learning
Deep Learning
A/B Testing

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📌 Data Science Lead Hyderabad (India)
🏢 Kerdos Infrasoft
📍 India