Job 142719

Honeywell

Base: $99,200 - $124,000; bonus/equity: not specif...
Not specified
Design and build in-house analytical components
Evaluate and integrate 3rd party analytical components
Deploy state-of-the-art ai-ml models
Honeywell is seeking a data-driven professional for its Data Science engineering team to design, build, and integrate analytical systems utilizing advanced data mining and AI-ML techniques. The role involves developing innovative solutions and collaborating with both internal teams and third-party vendors to enhance security insights for end-users

Job Summary

  • Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3rd party analytical components.
  • You will develop new innovative solutions, evaluate & integrate 3rd party solutions, and deploy state-of-the-art AI-ML models and data mining techniques that leverage physical access control system datasets to unlock new security insights for end-user customers.
  • 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: 75

Honeywell is seeking a data-driven professional for its Data Science engineering team to design, build, and integrate analytical systems utilizing advanced data mining and AI-ML techniques. The role involves developing innovative solutions and collaborating with both internal teams and third-party vendors to enhance security insights for end-users.

Salary

Base: $99,200 - $124,000; Bonus/Equity: Not specified; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • design and build in-house analytical components
  • evaluate and integrate 3rd party analytical components
  • deploy state-of-the-art AI-ML models
  • leverage physical access control system datasets
  • develop new generative AI systems and ML models

Nice-to-have

  • curious problem solver
  • self-starter that can take minimal direction
  • continuous learning mindset
  • effective verbal and written communication skills

Key Requirements

  • BS or MS in an appropriate technology field
  • 2 years of experience in modern advanced analytical tools
  • 2 years of experience in traditional programming languages
  • Some experience with exploratory data analysis
  • Some experience with ETL operations
  • Basic experience with data visualization technologies
  • Comfortable in Windows and Linux environments

Work Rights

Must be a U.S. Person

Tailored Resume

Cover Letter