Job 144099

Honeywell

Not specified (assumed hybrid based on industry norms).
Data mining techniques
Generative ai
Ml models
Honeywell is seeking an Advanced Data Scientist to join its Data Science engineering team, focusing on integrating and developing analytical systems using AI, ML, and data mining techniques. The role involves collaborating with third parties and cross-functional teams to enhance security insights through innovative data solutions

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.
  • As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI systems and ML models to deliver analytical systems that improve forensic and real-time security outcomes.
  • We offer: Competitive Salary regularly increased based on your performance, Multisport Card, Medical Care, Life Insurance and Lunch Card, Employee Assistance Program - Free and confidential service to help with any difficulties regarding work, life and personal or family matters, In-house and external learning platforms (Udemy) with unlimited access to give you opportunities to develop.

Matching Summary

Match Score: 85

Honeywell is seeking an Advanced Data Scientist to join its Data Science engineering team, focusing on integrating and developing analytical systems using AI, ML, and data mining techniques. The role involves collaborating with third parties and cross-functional teams to enhance security insights through innovative data solutions.

Skills & Requirements

Must-have

  • data mining techniques
  • generative AI
  • ML models
  • Python with scikit-learn
  • ETL operations
  • SQL, REST APIs, flat files

Nice-to-have

  • integrating systems
  • mashing-up datasets
  • text and multi-modal embedding models
  • build versus buy decisions
  • self-starter
  • Windows and Linux environments

Key Requirements

  • BS or MS in Computer Science, Statistics, Applied Math
  • 5 years of experience in modern advanced analytical tools
  • 5 years of experience in traditional programming languages
  • Experience with data visualization technologies

Work Rights

Not specified

Tailored Resume

Cover Letter