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Senior Staff Data Scientist
On-siteFull-timeData ScienceCybersecurity
Research, design, evaluate, and deploy advanced AI and machine-learning models, with a focus on LLMs, RAG systems, and agentic AI for cybersecurity applications.
Responsibilities
- Research, design, evaluate, and deploy advanced AI and machine-learning models, including LLM, RAG, and agentic AI applications.
- Analyze large-scale datasets to identify patterns and generate actionable insights.
- Work with product managers, engineers, and analysts to support feature development and validate machine-learning ideas.
- Follow developments in AI and machine learning and apply relevant practices to real-world problems.
Requirements
- At least 5 years of hands-on data science experience, including designing, building, and deploying solutions using LLMs, RAG, or agentic AI frameworks.
- Master’s degree in computer science, statistics, mathematics, engineering, data science, or a related field, with a data science thesis and GPA above 85.
- Strong understanding of machine-learning fundamentals, data structures, algorithms, and probability.
- Demonstrated independent research ability and a self-directed approach to learning and problem-solving.
- Strong communication skills, including the ability to explain technical concepts to varied audiences.
Nice to have
- Experience with deep-learning frameworks such as PyTorch or TensorFlow, or NLP libraries such as Hugging Face.
- Experience with cloud platforms such as AWS or GCP, or distributed data tools such as Spark.
- Knowledge of or interest in cybersecurity.