Honeywell Connected Enterprise (HCE) is looking for a Lead Data Scientist to design, develop, and implement data-driven solutions for all Honeywell business groups and functions, aiming to identify opportunities for new growth and efficiency based on data analyses and foster relationships with business team members.
Requirements
- Minimum of 7 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 7 years of full time Machine Learning experience applied on top of processes, systems, and hardware in a commercial setup.
- Minimum of 6 years of experience with distributed storage and compute tools (e.g. Spark)
- Minimum of 6 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
- Experience with MLOPS best practices and implementations
- Experience with LLM and Natural Language Processing models
Responsibilities
- designing, developing, and implementing data driven solutions for all Honeywell business groups and functions
- recommending innovative solutions by using various data science methods including hypothesis testing
- defining the data acquisition strategy when required
- lead the technical execution of data science projects directing daily work of junior data scientists
- presenting regular updates and final results to senior leadership of the customer organization
- defining and governing our analytics strategy for Honeywell building out AI/ML capabilities of our Forge platform
- promoting data science methods and processes across functions
Other
- motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning.
- foster relationships with business team members by being proactive, displaying a thorough understanding of the business processes.
- stakeholder management
- Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization
- Experience working with remote and global teams
- Results driven with a positive can-do attitude
