Staff Data Scientist

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.

Director, Data Engineering

As a Staff Data Scientist, you will play a pivotal role in the design, development, and deployment of machine learning models and data-driven solutions across various business functions. You will work closely with cross-functional teams to solve complex problems, deliver actionable insights, and contribute to the growth of our data science capabilities.

You will be expected to leverage your technical expertise in machine learning, advanced data analytics, and statistical modeling, while working autonomously and collaborating effectively with both technical teams and business stakeholders.

Key Responsibilities:

• Data Exploration and Analysis: Perform complex data analysis on both structured and unstructured datasets to identify trends, patterns, and actionable insights. Identify best techniques to apply tailored to the data characteristics.
• Model Development: Lead the design, development, and deployment of machine learning models, from initial concept to production-ready solutions.
• Collaboration: Work closely with data engineers, product teams, and business stakeholders to define the scope of projects, deliver data-driven solutions, and improve decision-making processes.
• Data Pipeline: Work closely with the data engineering teams to design data pipelines and monitoring to support our model in a production environment.
• Stakeholder Communication: Present findings and insights to both technical and business audiences, translating complex technical details into clear, actionable recommendations.

Key Requirements:

• Engineering degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.
• 6-10 years of hands-on experience in data science and machine learning, with a proven track record of developing, deploying, and maintaining machine learning models in production environments.
• Strong proficiency in Python, including main DS and ML libraries and frameworks. Proficient in development skills and coding practices, especially git for version control.
• Deep understanding of machine learning algorithms, techniques, and methodologies, with experience applying them to real-world problems.
• Experience working with, and evaluating, different databases and data storages.
• Ability to work independently while also being an effective collaborator within a team.
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Nice to Have:

• Experience with Generative AI and LLMs
• Experience with statistical modelling and analysis.
• Experience in the EV (Electric Vehicle) or energy sector is a plus.
• Familiarity with tools for model versioning and deployment, such as mlflow, airflow, or similar.
• Experience working with Snowflake
• Strong development skills such as code testing, building and maintaining APIs.

Location

Bangalore

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.