Data Scientist (University New Graduate)

Job Description

About Netskope

We’re changing the way enterprises think about Security. Our goal is to be the leading cloud security and analytics platform globally. It’s time for smart cloud/web security, we innovate the way security is done, i.e. that we provide a cloud-based service as opposed to traditional on-prem solutions. Our patented Cloud XD technology eliminates blind spots by going deeper than any other security provider to quickly target and control activities across thousands of cloud services and millions of websites. With full control from our cloud, our customers benefit from 360-degree data protection that guards data everywhere and advanced threat protection that stops elusive attacks. At Netskope, we call this smart cloud security.

Netskope is the leader in cloud security. We believe that people and companies should be able to collaborate without limits, working safely across the cloud, web, devices, and locations. Our corporate leadership is clear, open, and honest, leaders share what’s happening in the company, and all employees make a big impact. Recognized as a leader in Gartner’s Magic Quadrant, on Glassdoor and Fortune Magazine as one of the top 100 cloud companies in the world, and as one of the three fastest-growing cybersecurity companies, Netskope is a fast-moving company built to be the strategic enterprise security partner for a long time to come. Netskope is headquartered in Santa Clara, California. Visit us at www.netskope.com and follow us on Twitter @Netskope and Facebook .

Within Netskope Engineering department, 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;
• 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 required (preferable in Computer Science)

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