Lead AI/Data Scientist

Innovate to solve the world's most important challenges As a Lead AI / Data Scientist here at Honeywell Aerospace Technologies, you will be responsible for providing project guidance on data analysis, machine learning, and statistical modeling. You will oversee and prioritize data science projects, ensuring alignment with business goals and objectives. You will report directly to our Director of AI and you’ll work out of our Phoenix, AZ, Minneapolis, MN, San Jose, CA, or Clearwater, FL location on a hybrid work schedule. In this role, you will impact the aerospace industry by providing transformative insights and innovation. The actionable insights derived from your work will optimize processes, reduce costs, and identify growth opportunities, positioning Honeywell Aerospace Technologies at the forefront of data-driven innovation. Leveraging cutting-edge technologies and advanced analytics, we specialize in turning data into actionable intelligence that propels the aerospace industry forward. Let’s shape the future of how we use data together.KEY RESPONSIBILITIES Lead highly complex data science and advanced analytics projects in support of supply chain, finance, customer experience, engineering, 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.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.Provide technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.COMPENSATION AND BENEFITS The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Connecticut, and Hawaii is $175K - $219K. For Washington and most major metropolitan areas in New York & California, the annual base salary range is $152K - $190K. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.This position is incentive plan eligible.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. For more information visit : Benefits at HoneywellThe application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.U.S. CITIZENSHIP REQUIREMENTS Due to compliance with U.S. export control laws and regulations, candidates must be a U.S. citizen, U.S. permanent resident, or have asylum or refugee status in the U.S.YOU MUST HAVE 5-10 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, Azure, and AWS.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.Experience with Scaled Agile Framework and managing project work in Jira.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.ABOUT HONEYWELL Honeywell International Inc. (Nasdaq : HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell : click here.THE BUSINESS UNIT Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial, defense, and space aircraft in the world. We build aircraft engines, cockpit and cabin electronics, wireless connectivity systems, mechanical components and more, and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel, more fuel-efficient and better-maintained aircraft, more direct and on-time flight arrivals, safer skies and airports, and more comfortable flights, along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21,000 employees globally. To learn more, please visit click here.Additional Information JOB ID : HRD253472Category : Data & AnalyticsLocation : 1944 E Sky Harbor Circle, Phoenix, Arizona, 85034, United StatesExemptDue to US export control laws, must be a US citizen, permanent resident or have protected status.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.#J-18808-Ljbffr

Salary : $152,000 - $190,000