Data Scientist

• Company CrowdStrike
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

What You’ll Need

• Undergraduate or post-graduate degree in a STEM field
• Extensive post/undergraduate experience in data science, machine learning, or any field employing computational science or data driven analyses
• Programming experience in Python
• 2 - 4 years experience working on real world machine learning models and pipelines

What You'll Do

• Mine large scale and high dimensional data, identify patterns, and visualize trends
• Create predictive models using supervised learning techniques to detect and stop the most sophisticated threats
• Innovate new semi-supervised and online learning techniques to enhance our threat detection capabilities and reduce nuisance false positives for our customers.
• Work closely with domain experts to improve our raw data and to derive more value from data collected
• Hone your ability to balance detail-oriented research with goal-oriented business objectives
• Implement and experiment with new algorithms and methodologies to help improve our machine learning models
• Automate and visualize analyses, results and processes in our machine learning pipeline

You are…

• Passionate about cybersecurity, with a firm understanding of the problem space or passionate about applying your machine learning skillset to new domain areas such as cybersecurity
• Versed in utilizing Machine Learning techniques and familiar with the standard algorithms, their trade-offs, their usage, and how to tune them
• Have experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analyzing such data to gain actionable insights
• An independent self-starter who likes to take ownership and independently seeks out new challenges
• Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts
• Comfortable to dive into a Python codebase, including experience with unit testing and the python packaging ecosystem
• Comfortable and experienced working in a Linux environment in the AWS cloud
• Analytically minded: never afraid to drill down into a data-set, or debug-deeper into an unfamiliar codebase