Principal Data Scientist

Key Skills: ML, NLP, and Computer Vision (AWS or Azure or Google cloud).

Experience: 7+ yrs.

Responsibilities:

Research develop Machine Learning models for security problems, in the areas of Networking, Application Data.

Suggest, collect and synthesize requirements and create effective features.

Apply research methodologies to identify the Machine Learning models for the problem at hand.

Qualifications:

Minimum of 7+ years of relevant experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.)

Extensive experience in handling Time-series data

Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)

Experience in working on anomaly detection

Experience in handling structured and unstructured data.

Strong hands-on experience with statistical packages and ML libraries (e.g. Python scikit learn, Spark MLlib, etc.)

Experience in developing and debugging in one or more of the languages Python

Preferred Qualifications:

Experience working with relational and NoSQL/Graph databases

Unsupervised Deep Learning Experience

Experience in applying Machine Learning techniques

Ability and willingness to multi-task and learn new technologies quickly

Principal Data Scientist

Job Description

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