Solve complex challenges in advanced materials sector by applying statistical methods, data analysis techniques, and machine learning algorithms to derive insights from complex datasets
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
- Deep knowledge of advanced materials, including polymer science, nanomaterials, ceramics, metals, or composites
- 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)
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
- 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
- Investigate and implement state-of-the-art data science techniques to solve complex problems related to advanced materials
Other
- Must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization
- Master’s or Ph.D. in Data Science, Materials Science, Statistics, Applied Mathematics, or a related field
- 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
