Advanced R&D Engineer/Scientist at Solstice Advanced Materials

Buffalo, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

125000.0

Posted On

24 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Methods, Data Analysis, Machine Learning, Predictive Modeling, Data Pipelines, Data Integrity, Data Visualization, Python, SQL, NoSQL, Tableau, Power BI, Origin, Matplotlib, Seaborn, Materials Science

Industry

Manufacturing

Description

At Solstice 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. The Data Scientist for Solstice 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. This position is available in Buffalo, NY, or Morris Plains, NJ. Become part of an innovative team making a difference! KEY RESPONSIBILITIES · Analyze large datasets using statistical and machine learning techniques to identify trends, patterns, and relationships the discovery and manufacturing of 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. About Solstice Advanced Materials Solstice Advanced Materials is a leading global specialty materials company that advances science for smarter outcomes. Solstice offers high-performance solutions that enable critical industries and applications, including refrigerants, semiconductor manufacturing, data center cooling, nuclear power, protective fibers, healthcare packaging and more. Solstice is recognized for developing next-generation materials through some of the industry's most renowned brands such as Solstice®, Genetron®, Aclar®, Spectra®, Fluka™, and Hydranal™. Partnering with over 3,000 customers across more than 120 countries and territories and supported by a robust portfolio of over 5,700 patents, Solstice’s approximately 4,000 employees worldwide drive innovation in materials science. For more information, visit Advanced Materials.

Responsibilities

The role involves applying statistical methods, data analysis, and machine learning algorithms to derive insights from complex datasets related to advanced materials discovery and manufacturing. Key tasks include developing predictive models, collaborating with scientists and engineers, and designing efficient data pipelines.