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- Gain a comprehensive understanding of the project's objectives, requirements, and constraints
- Perform exploratory data analysis to gain insights and identify patterns
- Collaborate with team members to develop and evaluate effective scenario clustering algorithms
- Successfully integrate model within the designated environment and demonstrate functionality and application to team members
- Currently pursuing a Master's degree in Computer Science, Engineering, Statistics, or a related field
- Strong proficiency in Python
- Solid understanding of statistical analysis, machine learning algorithms, and data visualization techniques
- Familiarity with energy systems and testing procedures is a plus
- Effective communication and teamwork abilities
- Must be self-motivated and eager to learn
Data Science Intern - New York, United States - Ampcontrol
Description
Our MissionWe're on a mission to help the automotive industry transition to 100% electric vehicles.We believe in a future of self-managing, reliable, and affordable charging for companies, and fleet operators.
Who We Are
Ampcontrol is a venture-backed company of a growing team of engineers, energy experts, and climate tech enthusiasts building the new way of EV charging for fleets. A truly global company, Ampcontrol's team and partners span five continents.Ampcontrol works with fleet operators, solutions companies, and more to reduce energy costs, avoid late departures, and ensure reliable charging operations through AI-powered software.
The Role
This role will be a part of the Data Science team at Ampcontrol and have a Data Scientist as a mentor throughout the entire internship. You will own your own project to be completed by the end of the internship. The goal is to develop an observer' module that analyzes patterns at live sites in production in order to identify interesting scenarios for our testing environment.
Who You Are
The ideal candidate is someone who wants to learn, is excited about climate-tech and the EV industry and who has a passion for data science, and who enjoys applying their knowledge to real-world scenarios.
Requirements
Paid internship