Data Scientist (ML & GenAI)

1 Month ago • Upto 2 Years • Data Analyst

About the job

Job Description

Zscaler seeks a Data Scientist to support data science initiatives and projects. Responsibilities include designing, developing, and implementing machine learning models (focus on generative AI), conducting R&D in generative AI and predictive analytics, collaborating on AI/ML integration, performing data analysis, and staying updated on data science advancements. The role involves working closely with senior team members to solve real-world business problems. A foundational understanding of data science methodologies is required.
Must have:
  • Develop and implement ML models (Generative AI focus)
  • Conduct R&D in AI/ML
  • Collaborate on AI/ML integration
  • Data preprocessing, cleaning, and analysis
  • Python, SQL proficiency
Good to have:
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Familiarity with data visualization tools
  • Understanding of data engineering principles
Perks:
  • Various health plans
  • Time off plans
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks
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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 world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform 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 fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. 

We are seeking a Data Scientist to join our team, supporting various data science initiatives and projects. The ideal candidate will have a foundational understanding of data science methodologies and be eager to apply their skills to solve real-world business problems. This role involves working closely with senior team members to develop and implement machine learning models, analyze data, and contribute to AI-driven insights. Reporting to Senior Manager, Data Science. You will be responsible for:

  • Support the design, development, and implementation of machine learning models and algorithms, with a focus on generative AI.
  • Assist in conducting research and development in areas such as generative AI, predictive analytics, and other emerging technologies.
  • Collaborate with team members to integrate AI/ML technologies into Zscaler's solutions.
  • Perform data preprocessing, cleaning, and analysis to extract actionable insights.
  • Stay updated with the latest advancements in data science and machine learning.
  • Strong analytical and problem-solving skills and bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
  • Excellent communication skills and the ability to work collaboratively in a team environment.
  • A passion for learning and developing new skills in data science and AI/ML technologies.

What We're Looking for (Minimum Qualifications)

  • 0-2 years of experience in data science, machine learning, or a related role.
  • Basic proficiency in programming languages such as Python and SQL.
  • Familiarity with machine learning frameworks like TensorFlow or PyTorch is a plus. Understanding of data manipulation and analysis techniques

What We're Looking for (Preferred Qualifications)

  • Experience with cloud computing platforms (AWS, Azure, GCP) and big data technologies.
  • Familiarity with data visualization tools and statistical analysis.
  • Understanding of data engineering principles for efficient data handling.

At Zscaler, we believe that diversity drives 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. For more information on our commitments to Diversity, Equity, Inclusion, and Belonging, visit the Corporate Responsibility page of our website.

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!

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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About The Company

Axonius gives customers the confidence to control complexity by mitigating threats, navigating risk, automating response actions, and informing business-level strategy. With solutions for both cyber asset attack surface management (CAASM) and SaaS management, Axonius is deployed in minutes and integrates with hundreds of data sources to provide a comprehensive asset inventory, uncover gaps, and automatically validate and enforce policies. Cited as one of the fastest-growing cybersecurity startups, with accolades from CNBC, Forbes, and Fortune, Axonius covers millions of assets, including devices and cloud assets, user accounts, and SaaS applications, for customers around the world. For more, visit Axonius.com.

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