Data Scientist

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: The on-site technical presence during the pilot and Wave 1. Works directly with the customer's maintenance team to validate alerts, tune models, and build trust in the platform's outputs. This role requires someone who can explain machine learning predictions in maintenance engineering language, not data science jargon.

Responsibilities

Conduct the BMS protocol audit; Extract and analyze the 30-day historian pull; Build the baseline operating profile; Review the customer's maintenance logs; Map the customer's equipment taxonomy; Monitor live anomaly scores; Triage the first alerts; Facilitate alert review sessions; Tune the physics constraint gate; Calibrate fault classification confidence thresholds; Validate time-to-failure estimates; Document tuning decisions; Travel to Wave 1 sites; Conduct on-site tag mapping review; Train the offshore Data Scientist

Requirements

5+ years in applied data science or machine learning (predictive maintenance, anomaly detection, or industrial process optimization); Strong understanding of time-series analysis, classification models (XGBoost, LightGBM), and calibration techniques; Ability to explain model behavior to non-technical maintenance engineers; Comfortable working on-site at a data center or industrial facility

Nice to have

Experience with HVAC, mechanical, or electrical systems; Knowledge of what a chiller does, what COP means, why approach temperature matters