Data Scientist - Machine Learning - Residential/Commercial HVAC Products

VidPro Consultancy Services


Date: 11 hours ago
City: Indore, Madhya Pradesh
Contract type: Full time
About The Job

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.

Education / Certifications

  • Candidates must possess a MTech / MS or PhD in Mechanical, Electrical, Industrial Engineering or Physics.
  • BTech with strong skills is also preferred.

Domain Knowledge & Skills

  • 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.

In Addition, The Ideal Candidate Should

  • 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.

(ref:hirist.tech)

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