Data Science Intern
Posted on 1/21/2023
INACTIVE
Locations
Framingham, MA, USA
Experience Level
Intern
Desired Skills
Data Analysis
Data Science
Jupyter
MySQL
NumPy
Pandas
Postgres
SQL
Python
Requirements
- Currently pursuing a bachelor's degree or higher in Engineering, Computer Science, or similar
- 2+ years working using Python to develop tools for data analysis. A combination of relevant coursework and prior industry or research experience is acceptable
- Familiarity with relational databases and experience working with RDBMS such as PostgreSQL, MySQL, or MS SQL Server
Responsibilities
- Analyze data generated during development and testing of novel prototype designs
- Calculate metrics to quantify performance, efficiency, and degradation; present your results clearly
- Provide support to scientists and engineers who use data in their day-to-day research. Develop Python scripts to automate routine data analysis tasks
- Build and maintain data dashboards for visualization of scientific data
- Perform on-going database administration tasks for our historian and Laboratory Information Management Systems (LIMS)
- Support data scientists in the development of infrastructure such as custom libraries and packages
Desired Qualifications
- Familiarity with common tools and libraries in the Python data science stack, including NumPy, SciPy, and Pandas. Experience developing tools for scientists and researchers in a Jupyter notebook environment is a plus
- Prior internship or work experience at a start-up is a plus
Decarbonization hydrogen systems manufacturer
Company Overview
Electric Hydrogen’s mission is to produce renewable hydrogen at fossil-parity. The company is creating a new generation of electrolyzer technologies to enable clean, abundant, and low-cost hydrogen to end the age of fossil fuels.
Benefits
- Health, dental, vision, & disability insurance
- 401k match
- Unlimited time off
Company Core Values
- Passionate do-gooders
- Daringly innovative
- Stronger together than separate
- Eager to try, fail and learn
- Non-hierarchal in truth and ideas
- Open and honest