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UG :- - Not Required
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PG :- - Not Required
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No of position :- ( 1 )
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Post :- 7th Dec 2021
- Build miss funnels to identify protection gaps
- Support research team in developing clustering and classification automations
- Apply predictive analytics to generate work sets, optimize work prioritization, and resource allocation
- Develop high-performance algorithms, machine learning models, or other methodologies to close protection gaps.
- Apply data science and your machine learning expertise to enhance our protection systems to predict and block cybersecurity threats.
- Provide technical leadership to our team by reviewing problem sets, proposing prediction models, and reviewing experiments and models.
- Act as a resident expert for machine learning, statistics, and experiment design.
Basic Qualifications
- 2+ years of professional experience in experiment design and applied machine learning predicting outcomes in large-scale, complex datasets.
- Proficiency in R, Azure ML, Python, or other statistics/ML tools.
- Moderate coding skills. SQL or similar required. C# or other languages strongly preferred.
- Experience with prediction in adversarial (threat) environments highly desirable.