Data Scientist

Data Scientist

Responsibilities

  • Develop and evaluate statistical models for identification and classification of signs and events.
  • Arrive at approximate bounds for accuracy of detection/classification/prediction given the finite dataset. Characterize the limitations of the dataset.
  • Develop ML/statistical methods to aggregate data and arrive at more accurate predictions/detections (for example, minimizing effect of noise in the data).
  • Identify errors or shortcomings in algorithms/ML techniques and propose methods to improve upon them.
  • Develop validation framework even in cases where ground truth data may be either not very reliable or absent entirely.
  • Good documentation of approaches.

Requirements

  • Undergrad, masters or doctorate in a quantitative field.
  • Experience working with, and reasonable understanding of the machine learning algorithms and methodology.
  • Good hands-on experience of coding – Python (required), R, etc.
  • Reasonable grasp of statistics and probability.
  • Flexible and can-do approach. Ability to adjust to changing priorities.

Desired Skills

  • Strong grasp of ML fundamentals, statistics and probability.
  • Experience working with time-series, rare-event detection and data from GPS/IMU sensors would be useful.
  • Experience with design of experiments.

To apply for this job please visit www.netradyne.com.

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