Staff Data Science Engineer
Staff Data Science Engineer
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$ 122500 - 175000
1 Vacancy
Job Description
About Zscaler
Serving thousands of enterprise customers around the world including 40 of Fortune 500 companies Zscaler (NASDAQ: ZS) 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. As the operator of the worlds largest security cloud Zscaler accelerates digital transformation so enterprises can be more agile efficient resilient and secure. The pioneering AIpowered Zscaler Zero Trust Exchange platform which is found in our SASE and SSE offerings protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users devices and applications in any location.
Named a Best Workplace in Technology by Fortune and others Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fastpaced and collaborative and you are passionate about building and innovating for the greater good come make your next move with Zscaler.
Our Engineering team built the worlds largest cloud security platform from the ground up and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint the team has made us and our multitenant architecture todays cloud security leader with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects software engineers security experts and more who are enabling organizations worldwide to harness speed and agility with a cloudfirst strategy.
We are hiring a Staff Data Science Engineerto join our Cyber Security and Data Protection Team. You will build quality products that secure mobile devices applications and data. You will develop innovative solutions that are transforming the internet security business and that millions of users rely on for data protection and comprehensive security. In this role you will work on web filtering policy enforcement nextgen firewall sandboxing DLP Saas API CASB Sandbox and Endpoint Protection user solutions. This role is onsite in San Jose CA at least three times a week. Reporting to the Sr. Director Software Engineering Data Protection you will:
- Design and develop software for scalable distributed systems to provide network security
- Participate in all phases of the product development cycle from requirements design through implementation and test
- Develop software for machine learning based content categorization systems; develop data security and data leak prevention software solutions
- Work on the development of highperformance fault tolerant and scalable systems; use algorithms and data structures to develop optimal solutions
What Were Looking for (Minimum Qualifications)
- 5 years of hands on experience programming in C/C and python
- Knowledge of data structures run time complexities IPC FreeBSD/Linux and RPC
- 5 years of experience building and scaling Machine Learning (ML) models
- Experience with machine learning or deep learning related toolset/frameworks such as Pandas Numpy Scikitlearn TensorFlow PyTorch and ONNX
What Will Make You Stand Out (Preferred Qualifications)
- Familiarity with networking and networking security
- Handson experience with popular public cloud services infrastructure offerings such as AWS GCP Azure and experience with Docker Kubernetes and event messaging such as Kafka RabbitMQ etc
#LIAM12
#LIHybrid
Zscalers 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 jobrelated skills experience and relevant education or training.
The base salary range listed for this fulltime position excludes commission/ bonus/ equity (if applicable) benefits.
Base Pay Range
$122500 $175000 USD
At Zscaler we believe in innovation productivity and success. We are looking for individuals from all backgrounds and identities to join our team and contribute to our mission to make doing business seamless and secure. We are guided by these principles as we create a representative and impactful team and a culture where everyone belongs.
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
- Inoffice perks and more!
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. 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 pregnancyrelated support.
Required Experience:
Staff IC
Employment Type
Full-Time
