Energy Data Internship

7 Months ago • Upto 1 Years

Manufacturing

Job Description

This internship within Tesla's Energy Team at the Gigafactory Berlin-Brandenburg focuses on developing a machine learning-based dashboard to forecast energy usage (electricity and gas). Responsibilities include understanding manufacturing processes' impact on energy consumption, coordinating with various teams to gather data, building and maintaining the forecasting model, establishing data automation protocols, and ensuring the dashboard's ongoing accuracy and functionality. The intern will work closely with the energy team and stakeholders, contributing directly to optimizing energy performance at the factory. The role requires advanced Python/R programming skills, experience with large energy datasets, and excellent communication abilities.

Good To Have:

Electrical engineering knowledge
Thermodynamics knowledge
SCADA experience

Must Have:

Advanced Python/R programming
Energy data analysis experience
Machine learning model building
Data automation & integration
Excellent communication skills

Add these skills to join the top 1% applicants for this job

python

communication

forecasting-budgeting

What to Expect

The Energy Team continuously monitors and manages the utility systems, ensuring they meet the process specifications for vehicle production. The team is also responsible for forecasting the factory’s Energy requirements, continuously designing and implementing strategies and improvements to ensure optimum energy performance of the factory, working on energy efficiency improvements.

As an intern, you will work with many interfaces within the energy team and have contact with various stakeholders within the factory. Your main task would be to establish a working dashboard which forecasts factory’s Energy usage. This dashboard will then be a major tool used by the team in making key decisions.

Start Date: February / March 2025

Duration: 6 months

Location: Gigafactory Berlin-Brandenburg

What You’ll Do

Understanding Manufacturing processes in the factory and its effect on Energy usage
Coordinating with Manufacturing Shops to gather information that affects Energy usage
Coordinating with the Technical Service to gather information that affects Energy usage
Build a working Machine learning model based dashboard for forecasting Electricity and Gas usage for short term and long term
Establish data transfer protocol to automize data infeed into the dashboard. For Eg – automatic input for outside weather condition, automizing
Communicating with other teams to understand the internal softwares used by Tesla
Identifying and establishing a workflow to keep the dashboard always updated/maintained

What You’ll Bring

Your working style is proactive, pragmatic and fast-paced
Master’s (preferred) or a bachelor’s degree in Energy Data Engineering or similar
Experience in managing and analyzing large Energy datasets and utility demand forecasting
Advanced programming skills in Python or R.
Basic knowledge of electrical engineering and thermodynamics is a plus.
Experience with data integration and validation techniques (SCADA).
Excellent communication skills.
Ability to work in a large, complex environment where you must adapt to meet company needs

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