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Company

Original Job Post

Honeywell · 2 days ago

Generative AI and Data Science Lead

Phoenix, AZ

Full-time

Onsite

Senior Level

6+ years exp

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AerospaceElectronics

Growth Opportunities

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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.

Qualification

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Data ScienceAdvanced AnalyticsAerospace IndustryPythonSQLData WranglingFeature EngineeringModel DevelopmentMLOPSDeployment PipelinesProblem-SolvingLeadershipDataBricksSnowflakeLinuxAzureAWSDockerPostgreSQLSAPOptimizationStatisticsPrioritizationAnalytical ThinkingInnovationMentoringCommunication

Required

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.

Preferred

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.

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

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