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Form of workAbout Zscaler
Zscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the company's cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances.
Zscaler was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. Zscaler's purpose-built security platform puts a company's defenses and controls where the connections occur-the internet-so that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.
Role Overview:
We are seeking an experienced Data Scientist with a deep understanding of AI/ML tools and techniques. The ideal candidate will have an extensive track record in applying data science methodologies to derive actionable insights from complex datasets, helping to ensure superior digital experiences for our users.
Responsibilities/What You'll Do:
Required Qualifications:
Preferred Skills:
#LI-AZ2
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.
Base Pay Range
$195,000-$230,000 USD
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 proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration 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 characteristics 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. For additional information about the federal requirements, click here.
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.
Zscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the company's cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances.
Zscaler was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. Zscaler's purpose-built security platform puts a company's defenses and controls where the connections occur-the internet-so that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.
Role Overview:
We are seeking an experienced Data Scientist with a deep understanding of AI/ML tools and techniques. The ideal candidate will have an extensive track record in applying data science methodologies to derive actionable insights from complex datasets, helping to ensure superior digital experiences for our users.
Responsibilities/What You'll Do:
- Advanced Data Analysis: Utilize statistical methods and machine learning algorithms to analyze and interpret complex datasets related to user experience, performance metrics, and digital interactions.
- Insight Development: Translate findings into actionable insights and recommendations that drive continuous improvement.
- Modeling and Prediction: Develop and maintain models to identify digital friction points and predict user behavior and system performance.
- Collaboration: Work closely with UX/UI designers, product managers, developers, and other stakeholders to integrate data-driven insights into product enhancements and service improvements.
- Data Visualization: Design and create compelling visualizations that clearly communicate findings and insights to both technical and non-technical stakeholders.
- Mentorship: Guide and mentor junior Data Scientists, helping them develop their skills.
- Innovation: Stay updated with the latest trends and techniques in data science. Drive the adoption of innovative solutions and tools that can further elevate our monitoring and analysis capabilities.
- Process Improvement: Refine and improve data collection methods and analytical procedures to optimize accuracy, efficiency, and relevance.
Required Qualifications:
- A Master's or Ph.D. degree in Computer Science, Data Science, Statistics, or a related field.
- 10+ years of professional experience in data science or a related role.
- Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks.
- Strong experience in data visualization tools like Tableau, Power BI, D3.js or similar.
- Proven ability to collaborate effectively with cross-functional teams.
- Exceptional problem-solving skills and a detail-oriented mindset.
- Excellent written and verbal communication skills.
Preferred Skills:
- Certifications in relevant tools and technologies.
- Published research or contributions to the digital experience or data science community.
- Experience with real-time monitoring and alerting tools.
- Demonstrated experience in the experience monitoring space, with a deep understanding of user experience metrics, monitoring tools, and methodologies.
#LI-AZ2
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.
Base Pay Range
$195,000-$230,000 USD
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 proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration 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 characteristics 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. For additional information about the federal requirements, click here.
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.
