Data Scientist

About this position

About EVgo

EVgo (Nasdaq: EVGO) is one of the nation’s largest public fast charging networks for electric vehicles. Our mission is to build a sustainable business that powers our transportation and protects our planet. As a leader in clean transportation, EVgo sits at the intersection of technology, infrastructure, and innovation.

We are rapidly expanding our national footprint through strategic partnerships with retailers, automakers, rideshare and fleets, bringing fast charging to communities across the country. EVgo enables drivers of all makes and models to charge where they want, when they want.

At EVgo, sustainability is not just what we do; it is who we are. We are committed to reducing carbon emissions, advancing clean energy solutions, and building infrastructure that supports a more sustainable future. We believe great companies are built by great people. Our culture is mission driven, customer centric, collaborative, and innovative, with a strong focus on creating an environment where employees can grow and make a lasting positive impact.

Join us as we charge forward.

EVgo is searching for a bright and inquisitive Data Scientist to identify and solve problems on our charger network using analytic methods and systems. You will use data, analysis, and algorithms to address some of the toughest challenges facing the growth of vehicle electrification. You will work closely with the Data Science R&D team to report issues and improve our analytic systems.

Our team supports operations, hardware, and software groups at EVgo helping to identify, diagnose, and solve problems. We conduct advanced analysis using experimentation, data exploration, statistical methods, and visualization. And we build and manage automated solutions to support the continued operation and monitoring of EVgo’s charger network. To be successful as a Data Scientist at EVgo, you must care deeply about the health of EVgo’s charger network, monitor relentlessly for problems, and drive those problems to solution with technical experts across the company.

You will work with several other powerful Data Scientists in our fast and friendly team culture, and also as an interdisciplinary bridge with the Hardware group.

• Data Wrangling – assemble data from various sources and formats into a single set suitable for analysis
• Visualization – create and curate charts and graphics that reveal useful insights
• Monitoring & Troubleshooting – identify, manage, and solve technical/engineering problems that you identify using data systems and analytics
• Industry Knowledge – learn the technical details of the EV charging business and its sources of data
• Reporting Progress – communicate to others on your progress, obstacles, and learnings
• Project Selection – propose and promote projects that will answer important questions, support strategic decisions, or optimize control of automated systems
• Data Exploration – analyze existing data sets to help answer questions and develop hypotheses
• Communication – document methods and results concisely to present to colleagues
• Maintaining Expertise – identify and understand new data sources and analytic innovations that would benefit EVgo and its customers

• Typically requires a Bachelor’s degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.

• Proficient in scripting with SQL and Python
• Applies analytic techniques for data exploration, data visualization, linear regression, categorical models and machine learning.
• Works independently with little oversight, but also knows when to ask for guidance
• Enjoys resolving technical problems with team members

• Health & Wellness:
  Medical, dental, and vision coverage, plus mental wellbeing support and wellness programs
• Financial Benefits:
  
  401(k), Health Savings Account (HSA) and Flexible Spending Accounts (FSA) for medical and dependent care, life and disability insurance
• Work-Life Support:
  Uncapped paid time off, enhanced parental leave, and Employee Assistance Program (EAP)
• Care Navigation & Support:
  Access to Health…