Role and Responsibilities:

Time series Forecasting -Application of statistical or ML methods for time series forecasting problems.Hybrid Models -Develop hybrid models that blend physics/domain knowledge and statistical learning.

Skills and Experience:

Hands on experience developing, validating, and implementing statistical models.Proficient with Python for data handling, algorithm development and model building.Thorough understanding of basic statistics.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 EngineeringCandidate must have Bachelor’s 6+ years, or Master’s degree with 4+ years of experience in the domain of data science / analytics