- Develop predictive models using machine learning algorithms such as ARIMA, regression, and deep learning to forecast market trends.
- Conduct market research to identify key drivers of demand and supply in the petrochemical industry.
- Analyze time series data to create accurate forecasts for sales volumes, prices, and other relevant metrics.
- Collaborate with cross-functional teams to integrate forecasted results into business decision-making processes.
Job Requirements :
- 5-10 years of experience in predictive modeling or a related field (e.g., finance, economics).
- Solid proficiency in Python programming language and its various libraries (e.g., NumPy, Pandas).
- Experience with statistical techniques such as linear regression, time series analysis, and clustering.
📌 Senior Data Science (Hyderabad)
🏢 GlobalData
📍 Hyderabad
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