Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, Bangalore, London, Melbourne, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events (pre and hopefully post-Covid) and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

Responsibilities

• Provide technical leadership and strategic direction for scaling and operating Wootcloud’s device detection, risk and threat analytics. 
• Spear head in bringing leading technologies, best practices to the team.
• Refine existing technologies that makes the product more performant while delivering on business requirements.
• Design and implement features baked on with product requirements in collaboration with product managers, other developers and QA.
• Engage in cross functional team conversation to help prioritize tasks, communicate clearly to team members about their goals and overall deliver on business requirements.
• Bring excellent analytical and problem-solving skills, coupled with discretion and sound independent judgment
• Work with data engineers to retrieve, clean and normalize data
• Define scalable data acquisition and labeling strategy for specific use cases

Required Technical Skills

• Strong research and development experience in Machine Learning & Data Science/Engineering
• 2+ 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;
• 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 IoT security
• Thorough knowledge of Machine Learning, Big Data Analytics, Statistics, etc
• Familiar with non-SQL databases like MongoDB, Elasticsearch etc.
• Hands-on experience with relevant technology stacks such as Python, Tensorflow, Spark, Java/Scala, etc
• Hands-on experience with Machine Learning tools and packages: Jupyter, ScikitLearn, H2O, Numpy, Pandas, TensorFlow, Keras, etc
• Hands-on experience using modern big data pipeline
• Good understanding of TCP/IP, Security, and 802.11 protocol stacks is a great plus.
• identify strong AI/ML use cases in IoT security, data security and adjacent domains

Qualifications and Experience

• PhD in Computer Science, Statistics or Engineering or with focus in ML/AI
• 8-10 years of work experience 
• Proven hand-on technical experience 
• Experience building software in the security domain will be a plus.
• Excellent verbal and written communication skills.