Job Description :
Machine Learning (Local F2F to Bay Area)

Contract : 6-12 Months

Locals only. F2F is mandatory

Mine and analyze data to drive optimization and improvement of product development and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, other business outcomes.
Develop testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Strong problem solving skills
Experience using statistical computer languages (R, Python, SLQ, etc to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc and experience with applications.
Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.


Client : KAnand

             

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