• Must have 3+ years experience working as a Data scientist/Data analyst
• Proficient in SQL and either Python or R
• Knowledge of a variety of statistical techniques, including regression, time series forecasting, machine learning, A/B testing and their advantages and drawbacks
• Proficient in processing and analyzing geospatial data
• Experience with data visualization tools such as Mode, Looker, Tableau etc
• You are self-driven and enthusiastic about the company vision, our product and the underlying mathematical problems we are solving
• Strong written and verbal communication skills. Ability to summarize key findings into clear and actionable recommendations, and to interact with individuals at all levels
• Strong project management skills and ability to plan and prioritize work in a fast-paced environment
• You take your work seriously but not yourself

Desirable

• We’re looking for an experienced Data Scientist who can lead the development of predictive models and analytical tools used for decision making within our EV Charging Infrastructure business line
• This role will work cross-functionally with multiple teams to drive growth and efficiency, including Product, Engineering, Charging Operations and Business
• Lead Data Science initiatives to guide strategic and operational decisions for EV Infrastructure expansion and Charging Operations
• Iterative development of our existing models and tools currently used for Charging Operations, Site Selection and New Market Sizing
• Build dashboards and conduct analytics to support pricing and charging efficiency related initiatives. Translation of data / insights into meaningful and actionable recommendation to business leads across the organization
• Building deep knowledge of internal & external data sources. Use this knowledge to enhance and iterate on current models and tools