What You'll Do- Analyze and correlate complex data from various sources.
- Perform exploratory data analysis to gain deeper understanding of the data.
- Work with stakeholders, including domain experts and product, to understand use cases and domain-specific problems and find opportunities for applying machine learning to drive outcomes.
- Develop tools and algorithms for generating synthetic data sets.
- Define KPI's to measure model performance.
- Develop and test statistical and machine learning models for efficacy and operational impact.
- Write production quality code and work with other software engineering teams to deploy models into production.
- Support deployed models as a domain expert.
- Be creative and engineer novel features and methods to push beyond our current capabilities.
Who You Are- Structure large, sophisticated data sets to find usable information, solve difficulties, and analyze problems with advanced analytical or statistical methods
- demonstrated ability in a threat intelligence or related security analyst role with Min 7+Years.
- Proficient in Cybersecurity fundamentals
- Prior experience in data analysis in Cybersecurity domain
- General data analysis tools (PySpark/Pandas/NumPy), data visualization and any one of the languages Python (preferably), C/C++
technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.