Job Description :
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
- Acquiring data from primary or secondary data sources and maintaining databases containing master data, including Filter and clean datasets- creation, updates, and deletion
- Identify, analyze, and interpret trends or patterns in complex data sets using statistical techniques and provide ongoing reports
- Develop models that help understand and describe Agriculture Commodities with the help of Forecasting and predictive models- to provide insights and a crystal ball that tells us with a degree of certainty what will happen in the future by leveraging from tons of data harnessed till now
- High level of proficiency in R, Python or similar modelling/scripting language
- Strong knowledge of statistics, probability theory, machine learning, operations research, data visualization
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Prior experience working with predictive models in production
- Prior experience in delivering results in a highly autonomous, yet timely manner
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