Data Analytics

• 2+ years of experience in analyzing data using industry-standard Python data science libraries (Pandas, NumPy, SciPy, Dask, etc.) (Mandatory).
• 2+ years of experience in retrieving and processing data from a variety of data sources (file-based data sources, databases, RESTful web APIs, etc.) (Mandatory).
• 4+ years of demonstrated experience with data retrieval and analysis using Python
• Experience with big data tools and methods (Hadoop, Hive, Spark, GCP)
• Experience developing Python applications for both Windows and Linux
• Demonstrated strong written and verbal communication skills
• Excellent organizational skills including attention to detail and multi-tasking skills
  
  

- Develop Cutting-edge Data Analytics Solutions To Solve Complex Electrified Propulsion Systems Challenges And Improve Customer Experience Advanced EV/HEV Vehicles

• Use Python to develop automated tools for retrieving, processing, and aggregating data from a variety of different internal and 3rd party data sources.
• Create standardized reporting tools, metrics, and visualizations to support EV/HEV propulsion use cases.
• Create and maintain unit tests of core software functionality to ensure robustness across different compute environments.
• Use version control systems (GitHub) to maintain software traceability and perform documentation of code, data, and processes.