Data Scientist

Posted 7 Days Ago
Be an Early Applicant
Dublin
Mid level
Big Data • Cloud • Information Technology • Security • Software
The Role
As a Data Scientist at ReliaQuest, you will develop and implement advanced machine learning models, focusing on large language models and generative AI. You'll collaborate with cross-functional teams, analyze security data for patterns, and participate in the full ML lifecycle from research to deployment.
Summary Generated by Built In

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 

Top Skills

Python
The Company
HQ: Tampa, FL
1,140 Employees
On-site Workplace
Year Founded: 2007

What We Do

ReliaQuest provides a SaaS security platform designed to minimize data loss and business disruptions.

ReliaQuest, a global leader in Open XDR-as-a-Service, is the force multiplier for security operations teams. ReliaQuest GreyMatter, a cloud-native Open XDR platform brings together telemetry from any security and business solution—on-premises, in one or multiple clouds--to unify detection, investigation, response and resilience. ReliaQuest combines the power of technology and 24/7/365 security expertise to give organizations the visibility and coverage they require to make their cybersecurity program more effective. Hundreds of Fortune 1000 organizations trust ReliaQuest GreyMatter to operationalize security investments to focus teams on the right problems, close visibility and capability gaps to proactively manage risk and accelerate initiatives for the business. ReliaQuest is a private company headquartered in Tampa, Fla., with multiple global locations.

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