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Job Description
Structured overview of role & requirementsAbout This Role
Analyze large time-series data sets to identify patterns, trends, and anomalies.
Build, test, and validate machine learning and deep learning models focused on time-series data analytics.
Collaborate with cross-functional teams to deliver data-driven solutions and continuously improve analytics models through iterative development.
Minimum Requirements
3 - 5 years of proven experience in building machine learning and deep learning models.
Bachelor of Engineering (BE) degree is required.
Strong proficiency in Python and data science libraries such as NumPy, Pandas, Statsmodels, TensorFlow.
Experience with time-series analysis techniques (ARIMA, LSTM, Prophet) and tools like PyCaret, GluonTS, TensorFlow.
Ideal Candidate Profile
Experienced in statistical analysis, hypothesis testing, and feature engineering for time-series data.
Capable of working independently and communicating complex technical concepts to diverse stakeholders.
Familiarity with R-Shiny or Streamlit for basic development/deployment signals adaptability to diverse tools.