Data Scientist
QualysPune, Maharashtra, India
Posted November 19, 2025
Full Time
About the Company
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com.
Job Description
We are seeking a Data Scientist to develop next-generation Security Analytics products. The ideal candidate has a strong background in quantitative analysis, machine learning, and data-driven decision-making, with experience handling large datasets.
Requirements
- Conduct exploratory data analysis (EDA) and apply statistical methods to extract actionable insights from complex datasets.
- Collaborate with Product Management and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems.
- Design, develop, and deploy Machine Learning models, including traditional ML, Deep Learning, and Large Language Models (LLMs), to drive business impact.
- Create insightful data visualizations, technical reports, and presentations to communicate findings to technical and non-technical audiences.
- Deploy ML models in production and implement monitoring frameworks to ensure model performance, stability, and continuous improvement.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
