Staff Engineer - Data Analysis

Your role will involve developing hybrid models that combine physics/domain knowledge with statistical learning, as well as simulating scenarios for optimization using hybrid/ ML / Statistical models. Key Responsibilities: - Develop hybrid models blending physics/domain knowledge and statistical learning - Simulate various scenarios for optimization using hybrid/ ML / Statistical models To excel in this role, you should have: - Hands-on experience in developing, validating, and implementing statistical & ML models - Proficiency in Python for data handling, algorithm development, and model building - Familiarity with SQL and NoSQL databases - Knowledge of Cloud-based environments, preferably AWS - Ability to work comfortably in cross-functional teams Qualifications: - Graduate or Post-Graduate Education in Computer Science, Mathematics, Electrical Engineering, Mechanical Engineering, Operations Research, Systems, or Chemical Engineering - Bachelors degree with 6+ years, or Masters degree with 4+ years of experience in data science, optimization, or complex model simulations,