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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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