Data Scientist

Honeywell International • West Seneca, NY

233d

About 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.

Requirements

• 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).

Nice To Haves

• 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.

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

• 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).
• 12 Paid Holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree