Job Description

Role Description

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 advance 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.

Responsibilities

• Data Pipeline Engineering – Develop automated ELT pipelines in Snowflake. Engineer complex SQL transformations using CTEs, subqueries, window functions, and advanced joins. Optimize query execution and warehouse organization through appropriate use of tables, views, materialized views, and joins.
• Visualization – create and curate charts and graphics that reveal useful insights.
• Data Wrangling – assemble data from various sources and formats into a single set suitable for analysis.
• 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.

Qualifications

• Typically requires a Bachelor’s degree in Computer Science or other data science related field, and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
• Full stack data science proficiency including data engineering, web apps, and analytical tools.
• Proven strength in scripting with SQL and Python beyond coursework.
• 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.

Benefits

• 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 Advocate services for help with claims, provider searches, and care decisions.
• Flexible Care Options: Telehealth services for convenient, low-cost access to care.
• Growth & Development: Mentorship programs and opportunities for career growth and internal mobility.
• Additional Perks: Monthly Tech Stipend, one-time home office setup reimbursement, Volunteer time off, commuter benefits, and employee focused programs.

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