Staff Engineer - Data Analysis

Role Overview: As a Time Series Forecasting Specialist, you will be responsible for applying statistical or Machine Learning methods to tackle time series forecasting problems. You will also be involved in developing hybrid models that combine physics/domain knowledge with statistical learning techniques to enhance forecasting accuracy. Key Responsibilities: - Develop and validate statistical models for time series forecasting. - Implement hybrid models that incorporate both domain knowledge and statistical learning. - Utilize Python for data handling, algorithm development, and model building. - Demonstrate a strong understanding of basic statistics. - Work with SQL and NoSQL databases as required. - Preferably have experience with Cloud-based environments, particularly AWS. - Collaborate effectively within cross-functional teams. Qualifications: - Bachelor's or Master's degree in Computer Science, Mathematics, Electrical Engineering, Mechanical Engineering, Operations Research, Systems, or Chemical Engineering. - Minimum of 6+ years of experience with a Bachelor's degree, or 4+ years of experience with a Master's degree in the field of data science/analytics.,