At Advanced Materials, we are committed to offering the highest value-add specialty solutions in the advanced materials sector. Our goal is to solve our customers' most complex challenges through a robust and innovative product portfolio and by doing so, deliver exceptional value to our stakeholders. We have identified actionable strategies to grow by expanding into new products and markets and through strategic acquisitions, while keeping our top operating margins.
Joining our team means becoming part of an organization which leverages its long-standing reputation to capture growth trends by investing in innovation and manufacturing enhancements and maintaining deep customer relationships. We foster a collaborative and inclusive work environment that values contributions and supports professional development. With a focus on innovation and sustainability, the team is dedicated to delivering value and making a meaningful impact in advancing our customers' success. Let's make that impact together.
This position is intended to convey to the new, independent company, to be named Solstice Advanced Materials when the separation occurs. This is expected to occur in late 2025 or early 2026.
THE POSITION
The Data Scientist for Advanced Materials will play a critical role in our research and development efforts by applying statistical methods, data analysis techniques, and machine learning algorithms to derive insights from complex datasets. The ideal candidate will excel in designing and implementing data-driven approaches to enhance our understanding of advanced materials, contributing to innovative products and technologies.
KEY RESPONSIBILITIES
Analyze large datasets using statistical and machine learning techniques to identify trends, patterns, and relationships in advanced materials.
Develop predictive models to enhance material performance characteristics and to evaluate the effects of different variables on material properties.
Collaborate with chemists, material scientists, and engineers to understand their data needs and provide solutions that drive product development.
Work with stakeholders across the organization to communicate analytical findings and influence decision-making processes.
Investigate and implement state-of-the-art data science techniques to solve complex problems related to advanced materials.
Conduct literature reviews to stay updated on the latest advancements in materials science and data analytics.
Design, build, and maintain data pipelines and databases to collect, store, and process experimental and analytical data efficiently.
Ensure data integrity and perform regular data quality checks to maintain reliable datasets.
Create robust visualizations that effectively communicate insights to both technical and non-technical audiences.
Prepare detailed reports and presentations summarizing analytical results and recommendations.
BENEFITS OF WORKING FOR HONEYWELL
In addition to a performance-driven salary, cutting-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: https://benefits.honeywell.com.
The 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.
YOU MUST HAVE
Master's or Ph.D. in Data Science, Materials Science, Statistics, Applied Mathematics, or a related field.
Minimum of 3-5 years of experience in data analysis or data science roles, preferably within the materials science or engineering domain.
Proficiency in programming languages such as Python and familiarity with data manipulation libraries.
Strong understanding of statistical modeling, machine learning algorithms, and data visualization techniques.
Experience with data visualization tools (e.g., Tableau, Power BI) and databases (e.g., SQL, NoSQL).
WE VALUE
Deep knowledge of advanced materials, including polymer science, nanomaterials, ceramics, metals, or composites.
Familiarity with experimental methods in materials characterization and testing.
Excellent problem-solving abilities and critical thinking skills.
Strong interpersonal and communication skills, capable of engaging with technical and non-technical audiences.
Ability to work independently and manage multiple projects simultaneously in a fast-paced environment.
Passion for innovation and continuous learning within the field of data science and materials science.
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical demands around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company dedicated 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: https://www.honeywell.com/us/en.
THE BUSINESS UNIT
Honeywell Advanced Materials is an industry-leading solutions provider, playing a crucial role in advancing industries worldwide through diverse applications, revolutionary inventions, and pioneering technologies focused on high-growth mega-trends. Our science and technology experts create solutions that help solve our customers' needs today and in the future. Our solutions span across industries, including retail, healthcare and pharma, buildings, manufacturing, and hi-tech. In each of these verticals, we bring deep materials and engineering knowledge, which leads to our customers achieving a reduction in energy consumption, cutting down their carbon emissions, and improving their operational efficiencies.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, care or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and diversity: https://www.honeywell.com/us/en/company/inclusion-and-diversity.
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.
