Data Scientist - Data Products

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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.