Data Scientist

About Us:
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

Role Summary
Model development, training pipeline, and analytics backend. Works in close coordination with
the in office Data Scientist — the in office person provides site context and validation feedback,
the offshore person implements model improvements, retraining logic, and drift detection.

Responsibilities
Model Development & Training
Maintain and improve the physics-based simulation engine — 19 equipment families,
64+ fault signatures, first-principles governing equations
Run model training pipelines — dataset generation, feature engineering, model fitting, hyperparameter tuning, MLflow experiment tracking
Implement model retraining triggers — drift detection (PSI-based), accuracy degradation monitoring,



scheduled recalibration
Build and maintain the champion/challenger evaluation framework — shadow scoring, A/B testing, promotion guardrails
Develop recent fault signatures as customer feedback identifies gaps

Analytics & Calibration
Implement probability calibration — Platt scaling, isotonic regression, ECE monitoring
Build the adaptive threshold controller — feedback-driven alarm threshold adjustment based on false alarm rate and recall
Develop the CMMS label linking pipeline — match work orders to predictions with confidence scoring
Analyze prediction outcomes — precision, recall, F1 by equipment family, by fault type, by site
Produce the weekly and monthly accuracy reports

Feature Engineering & Data Quality
Define and maintain feature sets for each equipment family — physics-informed features, rolling statistics, cross-tag correlations
Monitor data quality metrics — null rates, stale

📌 Data Scientist Maharashtra
🏢 Codvo.ai
📍 Maharashtra