Data Engineer

THIS IS NOT C2C ONLY W2

Key Responsibilities:

• Develop electric vehicle (EV) user models or surrogate models using telematics data.
• Conduct extensive descriptive analytics on collected data.
• Analyze, summarize, and present research findings and results through presentations, reports/documents, and publications.
• Handle large databases, including data collection from EVs, cloud sources, and battery performance data.
• Clean, process, and organize raw data stored in cloud environments such as Snowflake.
• Understand and analyze customer behavior to inform future battery design and improvements.

Qualifications and Education Requirements:

• Graduate degree in Data Analytics, Data Science, Computer Science, or a related technical field. A Master's degree with a specialization in data analytics or data science is strongly desired. Relevant industry experience can be considered in lieu of a graduate degree.
• Minimum of 2-3 years of experience in data analysis, machine learning, and statistical modeling.
• Expertise in Python, with hands-on experience using machine learning frameworks like TensorFlow, and data science packages such as Pandas, Scipy, and Numpy.
• Experience with Big Data and cloud environments, particularly AWS.
• Strong attention to detail, flexibility, creativity, and excellent communication and teamwork skills.
• A passion for empirical research and the ability to answer complex questions with data.
• Excellent written and verbal communication skills.

Additional Notes:

• The role requires extensive data processing, cleansing, and manipulation skills.
• Experience with Snowflake and cloud knowledge is essential.
• The data engineer will work with internal data to understand EV owner behavior and contribute to the next generation of battery design.
• Strong analytical skills and a deep understanding of customer behavior in the EV market are critical for success in this role.