Data Science Intern

^{About Us}

^{With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.}

^{Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.}

^{At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.}

^{Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.}

^{Discover what it’s like to help build the fueling network of the future - check out our Engineering Blog.}

^{Position Summary}

^{ChargePoint is looking for a creative and versatile Data Science Intern to support creation of key data connections to streamline analyses that help ensure our EV Charging stations meet all performance and quality requirements. This intern will participate in establishing data pipelines, analysis of field and test data, and creating critical data dashboards needed for improved assessment of product quality. To succeed, this intern must have both strong theoretical and practical skills with an ability to thrive as an innovator in a rapidly evolving company and marketplace.}

^{Reports To}

Manager, Product Engineering

^{What You Will Be Doing}

• Identify, analyze, and interpret trends or patterns in complex data sets and present result drivers.
• Support building a scalable full stack data pipeline to aggregate diagnostics & service data to monitor systems’ status in the field.
• Design/develop new systems/methods in partnership with SW engineers to enable quick & easy consumption of data. Building tools to automate data collection and presentation.
• Standardize data formatting to make it more appropriate for analysis.
• Searching through large data sets for relevant information.

^{What You Will Bring to ChargePoint}

• Relevant coursework and/or experience in data analysis, statistical analysis, data science & ML

^Requirements

• Fundamental understanding of SQL, RDBMS databases and big data solutions
• Familiarity with basic statistical techniques for prediction and optimization
• Experience with data viz & business intelligence tools (e.g., Tableau, MS Power BI, etc.)
• Ability to create dashboards.
• Experience working with data in Apache Spark/Hadoop Python and SQL.
• Strong fundamentals in software engineering with Python.
• Understanding of statistical and machine learning concepts.
• Experience manipulating data sets through statistical software (ex. R, SAS) or other methods.
• Experience with Data Modeling. Fundamental understanding of data analytics, science and ML. Experience analyzing big data & building data solutions.
• Excellent attention to detail.

^{Desired Skills}

• Familiarity with cloud computing and data ecosystem in AWS
• Experience with more than one coding language.
• Designing and implementing real-time pipelines.

Location

Campbell, CA

ChargePoint is committed to fair and equitable compensation practices.

The targeted US salary range for roles at this operating level is $25 to $30. This range represents base salary and does not reflect equity, benefits or variable pay where applicable. Actual base salaries are based on several factors unique to each candidate, including but not limited to skill set, experience, certifications and specific work location.

We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

If there is a match between your experiences/skills and the Company needs, we will contact you directly.

ChargePoint is an equal opportunity employer. 
Applicants only - Recruiting agencies do not contact.

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