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When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars. 

Working at Honeywell isn’t just about developing cool things. That’s why all of our employees enjoy access to dynamic career opportunities across different fields and industries. 

Are you ready to help us make the future?

Summary 

Lead highly complex or critical data science projects that require a diverse array of data science applications. Responsible for leading problem analysis, customer interaction, solution design, front end and back end integration, maintenance, and support of data science and analytics solutions. Daily responsibilities include leading multiple, concurrent projects and/or supporting efforts of team members.

Duties And Responsibilities

• Lead highly complex data science and advanced analytics projects in support supply chain, finance, customer experience, and defense & space domains within aerospace manufacturing.

• Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.

• Identify promising generative AI opportunities across Honeywell Aerospace businesses; formulate the business case, work with our enterprise partners in formulating the technical approach and assist implementation with business users

• Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution.

• Independently develop data science models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control and maintaining documentation of created applications.

• Effectively work with enterprise partners to transfer promising proof-of-concept data science models and data pipelines into production and support CI/CD and MLOPs activities

• Work directly with customers and business partners to develop requirements and provide technical solutions through an analysis of manufacturing/business needs and pain points.

• Proactively assess current capabilities to identify areas for improvement by proposing solutions that align with core strategy and operation.

• Guide and produce information products, supporting visualization and data accessibility in a customer centric manner.

• Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.

• Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.

U.S. CITIZENSHIP REQUIREMENT

Must be a U.S. citizen due to contractual requirements

You Must Have

• 6+ years of experience applying data science and advanced analytic methods in aerospace or related industries.

• Proven track record of successfully leading data science projects to production.

• Strong programming skills in Python and SQL

• Experience with data wrangling, feature engineering, and model development.

• Experience with MLOPS practices and deployment pipelines.

We Value

• Experience with DataBricks, Snowflake, Linux, Azure, AWS, Docker, PostgreSQL, web apps

• Experience working with SAP data

• Ability to understand a broad array of technical and business issues, prioritize work, and analyze issues to develop innovative and effective solutions.

• Broad experience and working knowledge of advanced analytic methods and applications in data science (classic and GenAI), optimization, and statistics.

• Effectively lead team interaction, including meetings and collaboration, to resolve issues.

• Ability to develop and communicate technical vision for projects and initiatives that can be understood by customers and management.

• Proven mentoring ability to drive results and technical growth in peers.

• Effective communication skills (verbal, written, and presentation) for interacting with customers and peers.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.