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.
Reports To
Senior Director of Data Management.
Staff Data Scientist – ChargePoint 2024
Company Name: | ChargePoint |
Role: | Staff Data Scientist |
Salary: | Up to ₹7 LPA* |
Location: | Bengaluru |
Experience: | Freshers / Experience |
Last Date To Apply Date: | Apply Soon |
NOTE : The salary/stipend (if stated) here is an estimation and has been collected from various sources. We do not guarantee the accuracy of the stated amount.
- 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.
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. |
- Master’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 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.
- 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 mongodb and s3 is a plus.
- Strong development skills such as code testing, building and maintaining APIs.
ChargePoint Off Campus Selection Process:
The ChargePoint selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:
- Online Application: Start by searching for job openings on the ChargePoint website or relevant job portals. Submit your resume and application through the online application system.
- Resume/CV Screening: The HR team or hiring managers will review submitted applications to shortlist candidates based on qualifications and experience.
- Online Assessment (if applicable): Depending on the role, there may be online assessments or tests to evaluate specific skills.
- Phone/Video Interview: Shortlisted candidates may have a phone or video interview. This interview could cover your background, skills, and interest in the position.
- Technical Interviews (if applicable): For technical roles, there may be one or more technical interviews. These interviews assess your problem-solving skills, technical expertise, and knowledge.
- Assessment Centers (if applicable): Some companies, including ChargePoint, use assessment centers for more in- depth evaluations. These can include various exercises, group activities, and interviews.
- Behavioral and Competency-Based Interviews: Expect questions related to your past experiences, behavior, and how you approach various situations. These interviews may also assess your teamwork and communication skills.
- HR Interview: An HR interview may be conducted to discuss your overall fit with the company, your career goals, and to provide information about ChargePoint’s culture.
- Reference Check: ChargePoint may contact your previous employers or references to verify your work history and qualifications.
- Background Check: A thorough background check may be conducted as part of the selection process.
- Job Offer: Successful candidates will receive a formal job offer. This offer includes details about the position, compensation, benefits, and other relevant information.
Please note that the specific details of the ChargePoint selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process. selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.
ChargePoint offers a range of benefits that make it an attractive choice for professionals:
- Competitive Compensation: A highly competitive salary package with performance bonuses.
- Work-Life Balance: Flexible schedules and generous time-off policies.
- Professional Growth: Access to training, conferences, and career advancement opportunities.
- Health and Wellness: Comprehensive health insurance, dental coverage, and wellness programs.
- Family Support: Maternity and paternity leave, as well as adoption assistance.
- Engaging Work Culture: Collaborative environment with opportunities to work on innovative projects.
How to Apply ?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
Apply Link: Click Here
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