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HR Manager at AgNext Technologies
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AgNext - Data Scientist - Signal Processing (1-4 yrs)
- Good with Machine Learning, well versed with python, its libraries and other analytical tools.
- Good knowledge of signal processing.
- Should be able to identify data sources and automate collection processes.
- Should be able to analyze a large amount of information to discover trends and patterns.
- Should be able to build predictive models and machine learning algorithms.
- Good knowledge and experience with Data Science and computer science.
- Can help in delivering advanced analytics in an enterprise environment.
- Collection, assembly, processing and visual representation of large datasets to describe patterns in agricultural productivity, the resilience of cropping systems and corresponding explanatory factors using data mining and machine learning.
- Ability to communicate complex ideas effectively, can help in structuring and solving problems and can conduct and interpret analysis independently.
- Good experience with (big volume) data cleansing, handling and pruning.
- Complex Statistics understanding, statistical modeling, predictive analytics, machine learning and analytic approaches, inventing new algorithms.
- Strong data mining, programming and visualization skills.
- Data classification, regression, cluster analysis.
- Proficiency in computer programming and statistical computing (eg Python, R, MATLAB, and other Data Mining Tools).
- Demonstrated experience using machine learning with deep neural architectures to identify patterns in agriculture.
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.
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