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Job Description
We are seeking a Data Scientist to develop next-generation Security Analytics products. You will work closely with engineers and product managers to prototype, design, develop, and optimize data-driven security solutions.
The ideal candidate has a strong background in machine learning, especially in the NLP/GenAI domain.
Responsibilities:
Design, develop, and deploy Machine Learning models.
Collaborate with Product Management and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems.
Leverage Large Language Models (LLMs) to build GenAI capabilities 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.
Requirements:
BS, MS, or Ph.D. in Computer Science, Statistics, or a related field.
2-5 years of experience in Machine Learning projects, including model development, deployment, and optimization.
Deep understanding of ML algorithms, their mathematical foundations, and real-world trade-offs.
Expertise in NLP techniques like Named Entity Recognition, Information Retrieval, Text classification, Text-to-Text Generation etc.
Familiarity and working experience of GenAI applications, Experience with prompting, fine-tuning and optimizing LLMs.
Knowledge of recent advancements and trends in GenAI, demonstrating a commitment to continuous learning in this rapidly evolving field.
Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, LangChain, vLLM etc.
Strong programming skills in Python and/or Java.
Experience in SQL, Pandas, and PySpark for efficient data manipulation.
Familiarity with microservice architectures, CI/CD, MLOps best practices.
Strong communication, problem-solving, and analytical skills; a collaborative team player.
Nice to Have:
Familiarity with distributed computing frameworks such as Hadoop, Spark, and OpenSearch.
Published research in AI/ML in peer-reviewed journals or top conferences (e.g., NeurIPS, ICML, CVPR).
Prior experience applying AI/ML to cybersecurity use cases.
Basic proficiency in Unix/Linux environments for scripting and automation.
Skills Required
- BS, MS, or Ph.D. in Computer Science, Statistics, or related field
- 2-5 years of experience in Machine Learning projects
- Deep understanding of ML algorithms and their mathematical foundations
- Expertise in NLP techniques
- Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, LangChain, vLLM
- Strong programming skills in Python and/or Java
- Experience in SQL, Pandas, and PySpark
Qualys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.
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Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
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Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
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Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.
Qualys Insights
What We Do
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
