Why it’s worth it:

Are you a passionate Data Scientist with a knack for solving complex problems and a love for innovation? At ReliaQuest, you'll have the opportunity to analyze and interpret complex data sets, driving automation of threat detection and response for one of the world’s fastest-growing AI cybersecurity companies. You'll contribute to the creation, testing, and deployment of cutting-edge technology for enterprise customers worldwide. Most importantly, you'll collaborate with some of the brightest minds in the industry and make a direct impact on the growth and success of ReliaQuest. This role offers you the chance to take ownership of projects and work on systems that operate at a significant scale, providing a unique opportunity to see the tangible results of your efforts.

The everyday hustle:

• Analyze and interpret complex data sets to identify patterns and trends.

• Develop and implement data models and algorithms to enhance our GreyMatter agentic AI security operations platform.

• Collaborate with software engineers to integrate data-driven solutions into our products.

• Automate data collection and processing to streamline our customers' security operations.

• Work on systems that operate at a significant scale, providing a unique opportunity to see the tangible results of your efforts.

• Collaborate closely with various business units, both internally and externally, to ensure seamless product usage and maximum potential.

• Take ownership of projects and drive them to completion, ensuring high-quality deliverables.

Do you have what it takes?

• Completed Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

• Passion and experience in data analysis and machine learning using languages and tools such as Python, R, SQL, and TensorFlow.

• Appreciation and understanding of data security principles.

• Practical or lab experience with data visualization tools like Tableau or Power BI.

• Passion and inquisitiveness with cloud platforms such as AWS, GCP, or Azure.

• Education or relevant experiences that allow you to work with some of the world's best engineering minds.

• Proficiency in English, written and verbal.