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Job Description
This role involves analyzing and processing large datasets to generate actionable insights, supporting machine learning applications, and collaborating with cross-functional teams to develop advanced battery and energy storage solutions.
Key Responsibilities
- Collect, clean, and preprocess large datasets from various sources
- Restructure and organize data to ensure consistency and usability
- Perform feature engineering to enhance data models for machine learning applications
- Collaborate with data scientists and engineers to support ongoing projects
- Assist in developing and optimizing data pipelines
- Generate reports and visualizations to communicate insights effectively
Requirements
- Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field.
- Strong proficiency in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn.
- Familiarity with SQL and database management.
- Basic understanding of machine learning concepts and feature engineering.
- Strong analytical and problem-solving skills.
- Ability to work independently and in a team environment.
Benefits & Perks
US base salary range of $65,000.00 - $70,000.00
15 bonus benefits
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