Data Scientist

Why it's worth it 

Join ReliaQuest, a global leader in enterprise cybersecurity technology, where you'll be at the forefront of developing cutting-edge AI and ML solutions for our GreyMatter platform. You'll work with state-of-the-art technologies including: 

- Large Language Models (LLMs) and Generative AI 

- Autonomous AI Agents for security operations 

- Knowledge Graphs for enhanced threat detection 

- Cloud-native architecture and advanced ML systems 

We're not just following AI trends - we're setting them. Our GreyMatter platform combines traditional ML with next-generation AI capabilities to revolutionize security operations. 

The everyday hustle 

As a Data Scientist at ReliaQuest, you'll be: 

- Developing and implementing advanced machine learning models, with a special focus on LLMs and GenAI 

- Working on autonomous AI agents that enhance our security operations capabilities 

- Integrate AI agents with traditional ML systems 

- Creating and maintaining knowledge graphs for improved threat detection and response 

- Collaborating with cross-functional teams to integrate AI/ML solutions into our GreyMatter platform 

- Analyzing complex security data to identify patterns and anomalies 

- Participating in the full ML lifecycle from research to production deployment 

Do you have what it takes? 

Graduate Level 

- Master's degree in Statistics, Mathematics, Computer Science, Data Science, or related field 

- Strong programming skills in Python 

- Basic understanding of machine learning concepts and deep learning frameworks 

- Familiarity with NLP concepts and transformer architectures 

- Experience with basic data analysis and visualization 

- Eagerness to learn about LLMs and GenAI applications 

Mid Level 

- 3-5 years of experience in applied data science 

- Strong experience with machine learning model development and deployment 

- Hands-on experience with deep learning frameworks and LLMs 

- Experience with cloud computing platforms (AWS/Azure/GCP) 

- Track record of successfully deployed ML models in production 

- Understanding of AI/ML security considerations 

Senior Level 

- 6+ years of experience in data science with focus on production ML systems 

- Extensive experience training and deploying LLMs and GenAI solutions 

- Proven track record of leading complex AI/ML projects 

- Experience integrating AI agents with traditional ML systems 

- Expertise in knowledge graph technologies and applications 

- Strong background in production ML architecture and MLOps 

- Experience mentoring junior data scientists 

What makes you uncommon? 

Graduate Level 

- Previous experience with ML/AI projects 

- Contributions to open-source ML projects 

- Experience with basic LLM fine-tuning 

- Familiarity with graph databases 

- Knowledge of cybersecurity concepts 

Mid Level 

- Experience with LLM fine-tuning and prompt engineering 

- Knowledge of graph databases and knowledge graph construction 

- Experience with ML model monitoring and maintenance 

- Understanding of AI agents and their applications 

- Background in cybersecurity or security analytics 

Senior Level 

- Deep expertise in LLM architectures and training methodologies 

- Experience building and deploying autonomous AI agents 

- Advanced knowledge graph development and implementation experience 

- Expertise in combining traditional ML with GenAI solutions 

- Track record of innovative AI/ML solutions in production 

- Experience with large-scale ML systems architecture 

- Research publications or patents in ML/AI