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Honeywell · 9 hours ago

Lead Data Scientist

Atlanta, GA

Full-time

Onsite

Senior Level, Lead/Staff

7+ years exp

Honeywell Connected Enterprise (HCE) is a significant business segment of Honeywell International Inc., focusing on providing innovative software solutions that enhance operational efficiency and drive digital transformation across various industries. As a Lead Data Scientist, you will be responsible for designing, developing, and implementing data driven solutions for all Honeywell business groups and functions.

AerospaceElectronicsInformation TechnologyInnovation ManagementManufacturingService Industry

Growth Opportunities

No H1B

U.S. Citizen Only

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

Qualification

Data ScienceMachine LearningPythonCloud PlatformsDeep LearningDistributed StorageMLOPSNatural Language ProcessingTeam CollaborationProblem Solving

Required

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

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