Data Scientist / Engineer developing and implementing AI solutions for insurance clients. Contributing to fraud detection and automation in a hybrid work environment.
About the role
- Lead Data Scientist developing data driven solutions for Honeywell Connected Enterprise. Collaborate with teams and manage data science projects for operational efficiency and innovation.
Responsibilities
- The Lead Data Scientist role is expected to work within Honeywell to identify opportunities for new growth and efficiency based on data analyses and foster relationships with business team members by being proactive, displaying a thorough understanding of the business processes.
- You will also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and also be responsible for defining the data acquisition strategy when required.
- After influencing scope and prioritizing the analytics pipeline, you will lead the technical execution of data science projects directing daily work of junior data scientists and will be responsible for the overall success of the project. This includes stakeholder management by presenting regular updates and final results to senior leadership of the customer organization.
- 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 Data Science Leader in Honeywell Connected Enterprise.
Requirements
- MUST HAVE:
- Bachelor degree in computer science, Engineering, Applied Mathematics or related STEM field
- 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
- 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
- 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.
Benefits
- In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package.
- This package includes 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.
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