The Staff Engineer - Data Analysis will develop hybrid models using statistical learning and physics knowledge, perform simulations, and optimize various scenarios.
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
Top Skills
AWS
NoSQL
Python
SQL
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