Data Science Intern

About Us

The future of transportation is electric and our software solves the most critical emerging grid integration challenges to ensure that the impending energy transition is clean, equitable, and resilient. Our enterprise solutions help the grid absorb the coming electrification wave with ease. Utilizing modern, cloud-native architecture and robust systems optimization, WeaveGrid’s software is built from the ground up to tackle the most critical network challenges while meeting the stringent regulatory, security, and reliability requirements of the utility industry.

About the role

At WeaveGrid, we are working to accelerate the electrification of transportation and the decarbonization of the electric grid. At the core of our product offering are complex backend data systems that monitor or manage the charging of electric vehicles participating in utility programs that we facilitate. To enable this, we need to understand the behavior of drivers such as when they plug in their car and how they use their EV battery. We are looking for data scientists who can glean insights into driver behavior and potentially build simple predictive models which will help us grow our managed charging product.

Potential Responsibilities: 

• Leverage rich EV data to generate insights for internal use, utilities, end users and future product development
• Analyze the behavioral and charging patterns of EV drivers in Weave Grid’s fleet of vehicles
• Build models to predict crucial user or vehicle parameters which will be used in our next gen EV charging management platform

About You

We are looking for people to join our team who: 

• Have a passion for the greater de-carbonization effort 
• Want to know more about the electric grid and electric vehicles
• Thrive in fast-moving start-up environments 
• Interested in learning from and contributing to the development of robust machine learning and data science at Weave Grid
• Desire to learn software engineering practices from a high quality team

Preferred Experience

• Rigorous foundational training in Computer Science, Statistics, Engineering, Physical Sciences or related fields
• Coursework in data analysis, mathematics and statistics
• Experience using core data science tools like SQL and Python (and libraries like Pandas, Numpy, Scikit-learn), along with data visualization tools (Matplotlib, Plotly, Altair)
• Familiarity with Git and distributed version control 
• Demonstrated prior software engineering and/or data science work, from internships or projects

Qualifications

• Currently pursing a Bachelor's Degree
• Knowledge of Python, SQL
• Coursework in data analytics, mathematics and statistics

The compensation for this opportunity includes a salary is $25/hour