Applied Data Scientist

Description

We’re looking for an experienced Applied Data Scientist who thrives in fast-paced environments and is passionate about applying advanced algorithms to solve complex problems in cybersecurity. If you're excited about AI, NLP, and leveraging cutting-edge technologies like LLMs and Graph Neural Networks (GNNs) to make an impact, we want to hear from you!

Requirements

What You’ll Do

• Develop and implement data science models, focusing on NLP, LLMs, and graph-based approaches to address cybersecurity challenges.
• Optimize and deploy machine learning models in production environments using Python and related tools.
• Design and apply Graph Algorithms and Graph Neural Networks to extract insights from complex datasets.
• Collaborate with cross-functional teams to integrate data science solutions into our platform.
• Research and experiment with emerging technologies to drive innovation in the cybersecurity space.
• Contribute to a culture of continuous learning by sharing knowledge and mentoring team members.

What You’ll Bring:

• Proven experience as a Data Scientist, Applied Data Scientist, or in a similar role.
• Strong expertise in NLP and LLMs, with experience in Graph Neural Networks (GNNs) being a valuable plus.
• Strong coding capabilities, with hands-on experience in Python and relevant data science libraries (e.g., NumPy, Pandas, TensorFlow, PyTorch).
• Familiarity with Graph Databases and Graph Algorithms; experience with tools like Neo4j or ArangoDB is a plus.
• Practical understanding of machine learning and data science best practices, from model development to deployment.
• Ability to handle large and complex datasets to derive actionable insights.
• Solid problem-solving skills and a proactive approach to tackling new challenges.
• Excellent communication skills to effectively convey technical ideas to non-technical stakeholders.