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Senior Data Scientist
HíbridoTiempo completoData ScienceCybersecurityEnterprise Software
Join a cybersecurity team developing and deploying machine learning and LLM capabilities to address complex security challenges. Work with data scientists, engineers, security researchers, and product managers from research and experimentation through production.
Responsabilidades
- Analyze large datasets to identify patterns and potential security threats.
- Work with cybersecurity researchers to develop machine learning and data analytics solutions for emerging threats.
- Design, develop, and evaluate classification, NLP, and security-focused ML and LLM solutions from experimentation through production.
- Develop and optimize prompting, retrieval, embeddings, RAG, and fine-tuning approaches.
- Design experiments and evaluation methods to measure model quality, accuracy, and performance.
- Assess advances in machine learning, NLP, and LLMs for real-world cybersecurity applications.
- Partner with software and data engineers to integrate solutions into scalable production systems.
- Own complex data science problems from definition and research through implementation and evaluation.
Requisitos
- Bachelor’s degree in computer science, engineering, statistics, mathematics, or a related field.
- At least 5 years of experience in data science, machine learning, or a related field.
- Hands-on expertise in machine learning, deep learning, classification, NLP, and text classification, including NER and model training or fine-tuning.
- Strong Python skills and experience developing and evaluating LLM applications, including prompt engineering.
- Experience with embeddings, vector search, vector databases, RAG, and commercial or open-source LLMs and frameworks.
- Experience handling imbalanced datasets and selecting evaluation metrics for precision-recall trade-offs.
- Strong analytical and problem-solving skills; able to interpret complex data and experimental results.
- Effective communication and collaboration skills, with a record of delivering quality work in a fast-paced environment.
Se valora
- Master’s or Ph.D.
- Experience with PySpark and Databricks
Beneficios
- Flexible hybrid work arrangement