Design, develop and implement data driven solutions for all Honeywell business groups and functions
Work closely with data scientists and data engineers, application architects to integrate results into operational platforms

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 of experience in deep learning frameworks like PyTorch, Tensorflow, Keras
Minimum of 4 years' Experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs

Data Scientist

Key skills