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).
Proven track record on coding platforms e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions.
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
