Advanced Data Scientist

About the role

Honeywell Forge and AI team is a significant business segment of Honeywell International Inc., focusing on providing innovative AI and software solutions that enhance operational efficiency and drive digital transformation across various industries. Forge is the flagship software product of Honeywell. The team leverages advanced technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and data analytics to create integrated solutions that improve productivity, safety, and sustainability.

Responsibilities

• Build and deploy innovative AI/ML models and solutions that generate new business growth and value.
• Recommend innovative solutions by using various data science methods including hypothesis testing.
• Define the data acquisition strategy when required.
• Participate in defining and governing our analytics strategy for Honeywell, building out AI/ML capabilities of our Forge platform, and promoting data science methods and processes across functions.
• Report to the Director of Artificial Intelligence.

Qualifications

• 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) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial setup.
• Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems, and hardware in a commercial setup.
• 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 (e.g. AWS, Azure, GCP etc.).
• Minimum of 4 years' Experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs.
• Master's degree in computer science, Engineering, Applied Mathematics or related STEM field.
• PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field.
• Experience with MLOPS best practices and implementations.
• Experience with LLM and Natural Language Processing models.
• Experience working with remote and global teams.
• Results driven with a positive can-do attitude.

Benefits

• Comprehensive benefits package including employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance;
• Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.

Pay

Competitive salary.

Schedule

Flexible schedule.