Data Science Manager - Deep Learning, Machine Learning Job in Zscaler

Responsibilities: As a Data Science Manager, you will work in an award-winning team that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our team s use cases include but are not limited to threat detection, malware detection, content classification, anomaly detection, and AIOps (advanced networking diagnosis). These various use cases give you the opportunity and challenges to experience multiple machine learning algorithms and tools. You will design and create machine learning models to provide faster and more effective ways to address cloud security, cloud operations, and cloud intelligence use cases. You might not be an expert in every stage of a Machine Learning project, but you should have interests and curiosity in various parts ranging from the data to the model s business impact. Required Skills : - A degree in Machine Learning, Computer Science, or Electrical Engineering from a reputable school (Ph.D. degree preferred but not required) - Passion for leveraging ML/AI to solve real-world business problems (better security and better business results) - 12+ years of industry experience in one or more machine/deep learning frameworks - 12+ years of industry experience with Python and SQL - Excellent interpersonal, technical, and communication skills - Good business sense - Ability to learn, evaluate, and adopt new technologies fast - Ability to lead and execute projects from start to finish - Solid computer science foundation Desirable Skill Sets: - Minimum 12 years professional experience - Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow) - Experience with various program languages such as Go - Good understanding of operating systems and distributed systems - Familiarity with networking and networking security