Data Scientist - Machine Learning - Residential/Commercial HVAC Products
VidPro Consultancy Services
Date: 2 weeks ago
City: Indore, Madhya Pradesh
Contract type: Full time

About The Job
Experience Level : 5 to 9 years
Role & Responsibilities
Experience Level : 5 to 9 years
Role & Responsibilities
- Develop Fault Detection & Diagnostic algorithms for Carrier Residential / Commercial HVAC Products.
- Identify methods to detect component level faults such as Compressor Failure / Leakage / Inverter / Outdoor Fan / Outdoor Heat exchanger/ Unit Health index.
- Algorithm development includes understanding experimental data, data cleanup, model building, model validation, model metrics evaluation.
- Work with Carrier engineering design centers globally on challenging modeling problems and promotes the application of Data Science techniques to support design decisions.
- Candidates must possess a MTech / MS or PhD in Mechanical, Electrical, Industrial Engineering or Physics.
- BTech with strong skills is also preferred.
- Should have 8+ of Industrial experience preferably in HVAC / Automotive / Aerospace domain (having thermal background)
- Proficient in python programming
- strong background in data analytics and machine learning
- More than 3yr experience in developing data-driven classification or regression models/algorithms in HVAC and building or relevant areas.
- knowledge of vapor compression cycle, heat transfer and thermodynamics.
- Must be able to climb a learning curve quickly to become contributing within weeks and work independently with high-level direction only.
- Follow Agile development process during daily work.
- Be able to work as a part of a multidisciplinary team and in a global environment (our engineers are in the US, Italy, France, Germany, China, India. We collaborate with research institutions worldwide)
- Observe discipline with the development and adoption of standard development processes.
- Have a solid track record of working under pressure and focus on results.
- Solid technical writing, presentation, and communication skills.
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