Innovate to solve the world's most important challenges

THE BUSINESS

This position is intended to convey to the new, independent\ncompany, to be named Solstice Advanced Materials when the separation\noccurs.  This is expected to occur in late 2025 or early 2026.

At Advanced Materials, we are committed to offering the highest value-add\nspecialty solutions in the advanced materials sector. Our goal is to solve our\ncustomers' most complex challenges through a robust and innovative product\nportfolio and by doing so, deliver exceptional value to our stakeholders. We\nhave identified actionable strategies to grow by expanding into new products\nand markets and through strategic acquisitions, while keeping our top operating\nmargins.

Joining our team means becoming part of an organization which leverages its\nlong-standing reputation to capture growth trends by investing in innovation\nand manufacturing enhancements and maintaining deep customer relationships.

We foster a collaborative and inclusive work environment that values\ncontributions and supports professional development. With a focus on innovation\nand sustainability, the team is dedicated to delivering value and making a\nmeaningful impact in advancing our customers' success. Let’s make that impact\ntogether.

THE POSITION

The Senior R&D Manager for the Data Science Team\nwill lead our data-driven initiatives by leveraging advanced analytics and\ninnovative methodologies. The right candidate will guide a team of data\nscientists, analytics professionals, and researchers in developing cutting-edge\nsolutions to support our strategic goals. This position requires a strong\ntechnical background, expertise in data science methodologies, and leadership\nskills to foster collaboration and creativity within the team.

KEY RESPONSIBILITIES

Team\n Leadership: Lead,\n mentor, and manage a team of data scientists and researchers in the\n analysis, modeling, and interpretation of complex data sets. Foster\n a culture of innovation, encouraging team members to explore new\n techniques and creative problem-solving approaches.Project\n Management: Oversee\n multiple projects from conception through implementation, ensuring they\n are completed on time and within budget. Develop\n and implement project timelines, resource allocation, and risk management\n strategies.Research\n and Development: Drive\n the development of advanced statistical models, machine learning\n algorithms, and predictive analytics to enhance product offerings and\n operational efficiency. Envision\n and spearhead the implementation of infrastructure essential for\n advancing the transformation of artificial intelligence in materials\n research.Collaboration: Work\n closely with cross-functional teams, including R&D leaders, product\n management, and ISC, to integrate data-driven insights into business\n strategies. Collaborate\n with external partners and academic organizations to leverage\n cutting-edge research and technologies.Strategic\n Vision: Contribute\n to the strategic direction of the company by creating and implementing\n the roadmaps for implementing AI in to material research. Stay\n abreast of industry trends and advancements in data science and\n analytics, ensuring the team's methodologies remain current and\n effective.Data\n Governance: Ensure\n data quality, integrity, and security in all projects, adhering to relevant\n regulations and best practices. Implement\n data management strategies that promote responsible and ethical use of\n data within the organization.Performance\n Metrics: Establish\n and track key performance indicators (KPIs) to measure the impact of data\n science initiatives. Present\n findings and recommendations to leadership based on data analysis.

Compensation & Benefits:

Incentive Eligible
Salary Range: $170,000- $213,000
For benefits information please visit https://benefits.honeywell.com/.
Current employees may visit HR Direct.

Due\nto compliance with U.S. export control laws and regulations, candidate must be\na U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident,\nor have protected status in the U.S. under asylum or refugee status or have the\nability to obtain an export authorization

YOU MUST HAVE

Master’s or Ph.D. degree in Data Science, Computer Science, or related field.At least 5+ years’ experience working in the field of data science5+ years leadership experience

WE VALUE

Understanding of Material researchBackground in Chemical developmentAbility to lead, motivate, develop and mentor othersExperience with new product and technology development in a highly regulated environmentAbility to analyze and solve complex and challenging problemsEffectively operate in a matrix organizationExperience working in global teams across time zonesAdditional InformationJOB ID: req491120Category: EngineeringLocation: 20 Peabody St,Buffalo,New York,14210,United StatesExemptGlobal (ALL)

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.