Infrastructure Planning Data Scientist Sr jobs in United States
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Volkswagen Group Regional After Sales Singapore · 1 day ago

Infrastructure Planning Data Scientist Sr

Electrify America is committed to revolutionizing the way people charge, contributing to electrifying mobility and building a sustainable future. The Senior Data Scientist will be responsible for developing and maintaining predictive models for infrastructure planning, drawing on statistical research to forecast EV adoption and charging habits.

Automotive

Responsibilities

Develop new statistical inference models to improve the Infrastructure Planning team’s existing site selection analysis
Benchmark models against internal and industry data
Support deployment of models to cloud-infrastructure and help set up a cross-team analysis pipeline pulling from internal and external data sources
Work with the Energy Services and Price Performance teams to understand how economic considerations can influence EV driver charging decisions
Communicate data findings to internal and external teams

Qualification

Grasp of statisticsData modeling in PythonFluency with SQLEconometric modelingMachine learning forecastingHigh-quality analysisGeospatial analysisAWS deploymentAnalytical thinkingCommunication skillsProblem solvingProject management

Required

7+ years of relevant experience
Undergraduate degree in Economics, Mathematics, Statistics, or related field
Strong grasp of statistics
Experience building data models in Python
Fluency with SQL and relational databases
Familiarity with econometric modeling and forecasting (e.g. time-series, ARIMA, LSTM)
Experience with machine learning forecasting approaches, especially to evaluate model accuracy through cross validation
Experience delivering high-quality analysis and insights with incomplete datasets
Analytical and conceptual thinking – using logic and reason, creative and strategic
Exceptional communication skills – interpersonal, presentation and written
Integration – joining people, processes or systems
Problem solving – framing complex issues into solvable questions
Accomplished project management skills
Navigating uncertainty and ambiguity

Preferred

Graduate degree in Economics, Mathematics, Statistics, or related field
Familiarity or interest in infrastructure, transportation, EVs and EV charging, and/or the energy transition
Experience or knowledge of geospatial analysis and geospatial datatypes
Experience deploying production models to AWS or other cloud-compute infrastructure

Company

Volkswagen Group Regional After Sales Singapore

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Volkswagen Group Regional After Sales Singapore (VRAS) Based in the middle of South-East-Asia, we are the regional office of Volkswagen Groups’ After Sales operations in Asia Pacific*, supporting 34 importers/NSCs in 23 countries.

Funding

Current Stage
Growth Stage
Company data provided by crunchbase