Advanced Data Scientist

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. Forge and AI team, as the AI center of excellence, 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. 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. Forge and AI team, as the AI center of excellence, 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. Key functions and offerings of Honeywell Forge and AI team include: Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain Optimization, Sustainability Initiatives, and Smart Manufacturing We’re looking for a new team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning. 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 work closely with data scientists and data engineers, application architects to integrate results into operational platforms **RESPONSIBILITES** - The Advance Data Scientist role is expected to work within Honeywell to build and deploy innovative AI/ML models and solutions that generate new business growth and value. - 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. - You will also be expected to actively 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 - You will report to the Director of Artificial intelligence ### Qualifications **YOU MUST HAVE** - 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 **WE VALUE** - 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 In addition to a competitive sala…