Role and Responsibilities:

• 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