Job Description

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.

• 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.

• Graduate or Post- Graduate Education in Computer Science, Mathematics, Electrical Engineering, Mechanical Engineering, Operations Research, Systems or Chemical Engineering
• Candidate must have Bachelors 6+ years, or Masters degree with 4+ years of experience in the domain of data science / analytics