About Zscaler
Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges and want to make a positive difference on a global scale, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Our general and administrative teams help to support and scale our great company. Whether striving to grow our workforce, nurture an amazing culture and work environment, support our financial and legal operations, or maintain our global infrastructure, the G&A team provides a strong foundation for growth. Put your passion, drive and expertise to work with the world’s cloud security leader.
We are seeking a Senior Data Scientist to join our IT AI/ML Engineering group. This role offers flexibility to work remotely within the United States, with a preference for candidates based near our San Jose, CA office who can participate in a hybrid schedule (3 days per week onsite). Reporting to the Manager of ML Engineering, you will be responsible for:
- Developing and optimizing machine learning models to support data-driven decision-making
- Designing predictive, prescriptive, causal, and optimization models for business use cases
- Presenting actionable insights through data storytelling and explainable AI techniques
- Collaborating with engineering and product teams to integrate AI/ML technologies seamlessly
- Monitoring production AI/ML models and improving them with performance tracking and CI/CD frameworks
What We’re Looking for (Minimum Qualifications)
- Advanced degree in Computer Science, Machine Learning, Statistics, or a related field (MS preferred)
- 5+ years of hands-on experience in machine learning models and frameworks (e.g., Regression, Decision Trees, TensorFlow, or PyTorch)
- Proficiency in Python, SQL, PySpark, and understanding of deep learning and neural networks
- Strong experience with business-focused machine learning applications like forecasting and scenario planning
- Problem-solving skills and ability to address complex challenges effectively
What Will Make You Stand Out (Preferred Qualifications)
- Expertise in big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, GCP, or Azure)
- Familiarity with large-scale models for text or image generation
- Background in optimization algorithms and tools for decision-making applications
#LI-Hybrid
#LI-YC2
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Top Skills
Zscaler Burlington, Massachusetts, USA Office
1 Burlington Woods, Burlington, MA, United States, 01803
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