Senior Applied Scientist / Data Scientist (ML & LLM)

San Jose, CA US
USD 140k - 165k
Hadoop Machine Learning PyTorch AWS Deep Learning Azure GCP Spark Python SQL TensorFlow

About 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.

Position: Senior Applied Scientist / Data Scientist (ML & LLM)

Location: Remote within United States

We are seeking an Applied Scientist / Data Scientist with deep expertise in machine learning, artificial intelligence, including the development and deployment of large language models. The ideal candidate will have a robust foundation in data science methodologies, with a particular focus on transforming Saas business models using the latest in AI technologies including both traditional and Generative AI methodologies. This role is pivotal to our mission of leveraging data to drive innovation, create efficiencies, and make informed business decisions.

Responsibilities - What You’ll Do:

- Design, develop, and implement machine learning models, including LLMs, to enhance the intelligence and functionality of Zscaler's internal and external tools.
- Conduct extensive research and development in cutting-edge areas such as generative AI, predictive analytics, anomaly detection, and other emerging technologies.
- Collaborate with engineering and product teams to integrate AI/ML technologies into Zscaler's solutions.
- Analyze large datasets to extract actionable insights and improve model accuracy and performance.
- Stay updated with the latest advancements in ML, AI, and cybersecurity to ensure Zscaler remains at the forefront of innovation.

Qualifications/Your background:

- Advanced degree (PhD preferred) in Computer Science, Machine Learning, Statistics, or a related field.
- Track record of applied data science models (Regression, Decision Trees, K-Means, etc.).
- 3-5+ years of experience in NLP and the ability to process and analyze large amounts of natural language data.
- Proficiency in programming languages such as Python, SQL, and experience with ML frameworks like TensorFlow and PyTorch.
- Strong understanding of ML algorithms, deep learning, neural networks, and their applications in cybersecurity.
- Knowledge in data manipulation, visualization, and analysis tools and techniques.
- Demonstrated ability to work on complex problems independently and as part of a team.
- Demonstrated skills in selecting the right statistical tools given a data analysis problem. 

Desired Skills:

- Strong background in mathematics, statistics, and the application of these disciplines in ML and AI with experience in both text generation and image generation large models.
- Experience with cloud computing platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark).
- Familiarity with SQL, NoSQL databases, and data engineering principles for efficient data handling and manipulation.
- Expertise in deploying scalable machine learning models into production environments.



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
$140,250$165,000 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.

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