Job 135571

Honeywell

Not specified
Designing, developing, and implementing data driven solutions
Build and deploy innovative ai/ml models
Data acquisition strategy
Honeywell is seeking an Advanced Data Scientist to join their Forge and AI team, focusing on developing AI and machine learning solutions to enhance operational efficiency across various industries. The ideal candidate should have extensive experience in data science and machine learning, particularly in a commercial setting, and will play a key role in shaping the analytics strategy for the company

Job Summary

  • As an Advance Data Scientist, you will join a high-performing, global team, and be responsible for designing, developing, and implementing data driven solutions for all Honeywell business groups and functions.
  • You will also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and be responsible for defining the data acquisition strategy when required.
  • In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package.

Matching Summary

Match Score: 85

Honeywell is seeking an Advanced Data Scientist to join their Forge and AI team, focusing on developing AI and machine learning solutions to enhance operational efficiency across various industries. The ideal candidate should have extensive experience in data science and machine learning, particularly in a commercial setting, and will play a key role in shaping the analytics strategy for the company.

Skills & Requirements

Must-have

  • designing, developing, and implementing data driven solutions
  • build and deploy innovative AI/ML models
  • data acquisition strategy
  • analytics strategy for Honeywell
  • AI/ML capabilities of our Forge platform

Nice-to-have

  • unending thirst for learning
  • positive can-do attitude
  • working with remote and global teams

Key Requirements

  • Bachelor’s degree in computer science, Engineering, Applied Mathematics or related STEM field
  • Minimum of 4 years of full time Data Science prototyping experience (Python)
  • Minimum of 4 years of full time Machine Learning experience
  • Minimum of 4 years of experience with distributed storage and compute tools (e.g. Spark)
  • Minimum of 4 years' experience developing and deploying machine learning models on cloud platforms
  • Minimum of 4 years of experience in deep learning frameworks
  • Minimum of 4 years' Experience with designing, building models and deploying pipelines to production

Work Rights

Must be a U.S. Person

Tailored Resume

Cover Letter