Data Scientist

Role Overview:

As a Data Scientist in the EV sector, you will analyze and interpret complex data sets to inform decision-making, optimize vehicle performance, and improve customer experiences. Your work will involve developing predictive models, analyzing vehicle data, and supporting the integration of AI and machine learning into EV systems.

Key Objectives:

• Data Analysis: Analyze large data sets from vehicle sensors, user interactions, and charging infrastructure to identify patterns and trends.
• Predictive Modeling: Develop predictive models to optimize battery life, vehicle performance, and customer experiences.
• Collaboration: Work with software engineers and product teams to integrate data-driven insights into vehicle systems.
• Reporting: Present findings and recommendations to stakeholders to drive data-informed decision-making.

Required Background and Skillset:

• Data Tools: Proficiency in data analysis tools such as Python, R, SQL, and machine learning libraries (e.g., TensorFlow, scikit-learn).
• Statistical Analysis: Strong background in statistical analysis and predictive modeling.
• Experience: 3+ years of experience in data science, preferably in the automotive or EV industry.
• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

Personality Traits:

• Analytical: Strong problem-solving skills and attention to detail in data analysis.
• Innovative: Ability to develop new methods for analyzing and interpreting complex data sets.
• Collaborative: Effective communicator with a team-oriented mindset.

What’s in it for You?

• Impact: Drive data-informed decision-making in the development of electric vehicles.
• Career Growth: Opportunities to advance within a leading data science team.
• Competitive Package: Attractive salary and benefits package.