Data Scientist

Within Netskope Engineering, the Security Services organization is responsible for building core security products and features, such as Data Loss Prevention, Malware and Threat Prevention, Cloud Confidence Index, Breach and Anomaly Detection. We apply Artificial Intelligence and Machine Learning technologies across Netskope cloud security platform. We are looking for talented data scientists with security domain knowledge. A successful candidate has deep technical expertise in applying AI/ML technologies in security applications and/or adjacent domains, ideally has been through the entire lifecycle of an award winning security product, and must be passionate about cloud security. You will have the opportunity to work with a team of talented engineers, researchers and data scientists to solve the most challenging cloud security problems.   

Responsibilities:

• Identify strong AI/ML use cases in cloud security, data security and adjacent domains, leveraging Netskope’s rich set of data sources;
• Define scalable data acquisition and labeling strategy for specific use cases;
• Work with data engineers to retrieve, clean and normalize data. Ensure scalable and continuous high-quality data stream;
• Work closely with threat research and development team in feature engineering. Make sure high-quality feature sets are chosen in a systematic way;
• Select ML models for defined use cases. Implement KPIs to ensure optimal algorithms and results;
• Conduct strict internal testing to ensure high efficacy, low false positive and false negative rate;
• Interpret results and communicate findings;
• Document use case, data acquisition, feature engineering, training, validation, deployment, future improvement opportunity and other important aspects;
• Work closely with development and QE team in productization;
• Be an evangelist of AI/ML within Netskope. Promote AI/ML wherever applicable, beyond security use cases;
• Collaborate with data analytics team to define new platform requirements and continuously improve our horizontally scalable data lake.

Qualifications/Requirements:

• First of all, must have true startup spirit. Be willing to wear multiple hats and deliver end-to-end;
• Ability of thinking out-of-box and evaluating results based on customer value;
• 5+ years of industry experience in applying AI/ML, preferably on well-known security products or services, such as malware detection, anomaly detection, security analytics and data security;
• Experience of applying AI/ML in more than one domains highly desirable;
• Hands-on experience with relevant technology stacks such as CUDA, Python, R, Spark, Flink, Tensorflow;
• Hands-on experience using modern big data pipeline;
• Natural language process (NLP) and data mining experience highly desirable;
• Security research experience and strong security domain knowledge highly desirable;
• Energetic self-starter, with the desire to work in a dynamic fast-paced environment;
• Excellent verbal and written communication skills;
• Ability to influence without authority

Education:

• PhD in Computer Science, Statistics, Electrical Engineering or equivalent technical degree.

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