EV INFRASTRUCTURE DATA SCIENCE INTERN
We are the team that uses data analyticsto bridge the engineering, service, and deployment of Tesla’s charginginfrastructure and to enhance the charging experience worldwide.
With over 1200 Supercharger locations andseveral thousand destination charging sites around the world, Tesla’s charginginfrastructure aims to accelerate the world’s transition to sustainabletransportation by enabling electric mobility without compromises.
We use large-scale data analysis and machinelearning to retrieve actionable insights for enhancing the charging experience.
We also build the software tools and pipelines needed to maximize the leverageof these insights across our global operations.
Include, but are not limited to :
Work closely with theglobal EV Infrastructure team to make data-driven decisions on chargingexpansion worldwide
Use statisticalmodeling and machine learning to gather insights on EV infrastructure usage andperformance
Build reliable, fast, anddynamic data tools and services
Develop visualizationtools for geospatial and temporal data sets
Develop monitoringKPI’s for tracking network performance
for EU and APAC)Business level proficiency in English
Currently pursuing aBachelor’s, Master’s or PhD in a related field (e.g., CS, Operations Research,Software Engineering, Statistics)
Strong programmingskills with a solid foundation in data structures and algorithms
Proficiency in Pythonand pydata stack (numpy, scipy, pandas, scikit-learn, flask)
Proficiency in SQLrelational databases and / or NoSQL databases
Experience withstatistical data analysis such as linear models and time series forecasting
Smart but humble, witha bias for action
PhD studies in arelated field (e.g., CS, Operations Research, Software Engineering, Statistics)
Background instatistical learning with experience in using both supervised and unsupervisedmodels
Experience with Spark,Hadoop and / or streaming data
Experience in an agileworking environment
Quantitative projectsavailable online (github, blog posts, etc.)
Tesla participates in the