This role focuses on building analytics solutions that influence real operational decisions within a live, high-scale production environment
Job Summary
This role focuses on building analytics solutions that influence real operational decisions within a live, high-scale production environment.
The successful candidate will design statistical models and machine learning solutions to detect patterns, predict failures, and optimize performance for ESP systems.
Candidates must possess strong data capability including statistical rigor, scalable analytics, and automation to drive measurable business impact.
Matching Summary
This role focuses on building analytics solutions that influence real operational decisions within a live, high-scale production environment.
Skills & Requirements
Must-have
5–8 years Data Science experience
Python pandas numpy scikit-learn
Advanced SQL querying and optimization
Power BI data modeling DAX logic
Statistical modeling and hypothesis testing
Time-series analysis and anomaly detection
Deploying ML models into production
Nice-to-have
Domain knowledge of ESP systems
Experience with cloud platforms
Strong problem framing skills
Ability to explain complex models
Continuous learner mindset
Self-directed execution focus
Comfortable challenging assumptions
Key Requirements
Bachelor's or Master's degree in quantitative field