Hybrid Models -Develop hybrid models that blend physics/domain knowledge and statistical learning.
Simulations and Optimization - Simulating various scenarios for optimization using hybrid/ ML / Statistical models.
Skills and Experience:
Hands on experience developing, validating, and implementing statistical & ML models.
Proficient with Python for data handling, algorithm development and model building.
Familiarity with SQL and NoSQL databases.
Familiarity with Cloud based environments. (Preferred – AWS).
Comfortable working in cross functional teams.
Qualifications:
Graduate or Post- Graduate Education in Computer Science, Mathematics, Electrical Engineering, Mechanical Engineering, Operations Research, Systems or Chemical Engineering
Candidate must have Bachelor’s degree with 6+ years, or Master’s degree with 4+ years of experience in the domain of data science / optimization / complex model simulations