Predicting and extracting meaningful trends/patterns/recommendations from raw data to support data-driven decision-making
Requirements
- Data Modeling
- ALGORITHMS
- Python
- Big Query
- SQL
- Microsoft Excel
- Microsoft PowerPoint
- Statistics
Responsibilities
- Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
- Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
- Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
- Develop and analyze future vehicle pricing and volume forecasts against business plans and scenarios, providing recommendations for effective decision-making
- Create compelling visual representations of data, leveraging effective data storytelling and insights to persuade business partners to act on recommendations
- Utilize advanced modeling and simulation techniques to generate modeling scenarios to support strategic business decisions, optimizing the performance of Company Business Units
Other
- Master's Degree
- Up to 2 years experience in relevant field
- Doctorate (Preferred)
- Familiarity with Company's vehicles, attention to detail, time management, willingness to learn, ability to handle multiple projects at a time, excellent communication and data presentation skills
