Data Science Intern

Nanoramic Laboratories is an innovative, high-tech start-up company tasked with making state-of-the-art advancements in the Energy Storage Sectors. As an organization, we place an emphasis on maintaining a strong company culture that promotes employee engagement, wellness, and development. We have a system of values designed to instill trust in employees and empower all team members to share ideas and opinions. By giving our employees the power to introduce new concepts, we enable our major projects to be built from the ground up, rather than from the top down.

At Nanoramic, continuous learning and education will be an important part of your job. We invest in regular education days and build out customized development roadmaps for every employee. This allows employees to freely collaborate with their managers to build out a custom map tailored to their individual interests. We are a company of smart, talented individuals who work hard, but also understand and respect work/life balance. As part of this mentality, we share a common belief that family comes first. Benefits such as flexible scheduling and a company-wide holiday from December 24 to January 1 ensure our employees can put their best foot forward in their personal lives, as well as their professional lives.

If you are self-motivated, eager to learn new things, and excited by a good challenge, you will fit into the Nanoramic Team. For more information about our company culture, visit workatnanoramic.com!

Nanoramic is looking for Data Science Intern to help create an Optimal Experiment Design framework by leveraging Machine Learning and adding to the growing library of Nanoramic AI tools! Experience in Reinforcement Learning, Supervised Learning, Optimization, and Statistics is a plus.

• Use data analyses and statistical techniques to develop solutions to improve internal customer experience and to guide technology decision making
• Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written technical recommendations
• Collaborate with multiple technology teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity

BASIC QUALIFICATIONS

• Pursuing Masters's or equivalent advanced degree from a top tier Technology School
• Record of delivering large analytical solutions with business impact
• Experience in Python and SQL preferred
• Excellent Microsoft Office skills, including strong working knowledge of Excel
• Problem-solving ability and passion for complex data
• Excellent communication and data presentation skills
• Fluent written and spoken English

PREFERRED QUALIFICATIONS

Masters or equivalent advanced degree in Computer Science, Artificial Intelligence, Statistics, Mathematics, Chemical Engineering, Material Science or related technical discipline. Hands-on experience and project-based learning in computer science, engineering, or mathematics are preferred.
• Academic experience in manipulating/transforming data, model selection, model training, cross-validation, and deployment at scale.
• Academic or Project Experience with Machine and Deep Learning toolkits such as TensorFlow, Theano, and PyTorch.
• Academic Experience with code management and deployment tools like Docker and GIT
• Familiarity with data processing with Python & SQL.