Data Scientist

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.