Position Overview:
Join our R&I team as a Data Science Intern focused on Analytical Lab Support, where you’ll help develop data prediction models for advanced analytical data generated by spectroscopy and chromatography techniques. This internship offers hands-on experience in data science applied to material design and analysis.
Key Responsibilities:
- Review project background and develop models for data prediction using statistical methods, machine learning, or finite element analysis.
- Evaluate model performance and accuracy, making improvements as needed.
- Collect and interpret data produced by models and draw conclusions with guidance from analytical scientists.
- Summarize work, write SOPs, and present project reviews to peers and colleagues.
Qualifications:
- Enrolled in a Master’s program in Data Science, Computer Science, Engineering, or a related field.
- Proficiency in Python, MATLAB, C/C++, and experience with statistical methods or machine learning.
- Ability to interpret data from advanced analytical techniques, with experience in polymer science being a plus.
- Strong organizational skills, attention to detail, and ability to work independently or in a team.
How to Apply:
Submit your resume through LinkedIn or Handshake.