Senior Data Scientist

Operator of world's largest security cloud, providing AI-powered Zero Trust Exchange platform to protect enterprise customers from cyberattacks and data loss.
$105,000 - $150,000
Data
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
3+ years of experience
AI · Cybersecurity · Enterprise SaaS

Description For Senior Data Scientist

Zscaler, a NASDAQ-listed company founded in 2007, is the world's largest security cloud operator serving thousands of enterprise customers, including 40% of Fortune 500 companies. Our mission is to make the cloud a safe place for business while enhancing enterprise user experience.

As a Senior Data Scientist on our Digital Experience AI/analytics platform (ZDX) team, you'll be at the forefront of developing innovative data science solutions. You'll work with a team that has secured over 100 patents and serves more than 15 million users across 185 countries. The role involves leading performance issue identification, building predictive models, implementing AI/ML algorithms for anomaly detection, and managing complete machine learning project lifecycles.

The position offers competitive compensation ($105,000 - $150,000) and comprehensive benefits including health plans, parental leave, and education reimbursement. You'll be working in a hybrid setting (3 days in office) at our San Jose location, collaborating with cloud architects, software engineers, and security experts.

This is an excellent opportunity for someone passionate about applying data science to enhance user digital experiences, with the chance to work on large-scale problems affecting millions of users. You'll be joining a company recognized as a Best Workplace in Technology by Fortune, fostering an inclusive and supportive culture that values innovation and collaboration.

The role combines technical expertise in data science with practical application in cloud security, offering a unique opportunity to impact digital transformation at a global scale while working with cutting-edge technology and talented professionals.

Last updated 24 days ago

Responsibilities For Senior Data Scientist

  • Lead identification and resolution of performance issues through model building
  • Design, train, and deploy predictive models for system performance and user behavior
  • Implement advanced AI/ML algorithms for anomaly detection
  • Manage complete lifecycle of machine learning projects
  • Create data visualizations to communicate insights

Requirements For Senior Data Scientist

Python
Kubernetes
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field
  • 3+ years of professional experience in data science
  • Proficiency with Python, TensorFlow, SQL, and relevant libraries
  • Expertise in multi-dimensional anomaly detection algorithms
  • Experience with building and deploying ML models in production environments

Benefits For Senior Data Scientist

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Education Budget
401k
  • Various health plans
  • Vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks

Interested in this job?

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