Data Analyst

Pleasanton, CA Area


    • Use mathematical, statistical/probabilistic and machine learning techniques to create data analysis tools and build scalable systems for data mining, learning and understanding.
    • Designing, developing and evaluating highly innovative models for data-driven training and prediction.
    • Working closely with software engineering teams to drive real-time model implementation and new feature creations.
    • Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
    • Tracking general business activity and providing clear, compelling management reporting on a regular basis
    • Conducting research, implementing machine learning and statistical approaches.
    • Requirement of Bachelor’s degree in Mathematics or Statistics.


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