Data Scientist

Summary

Join Teramind as a Senior Data Scientist and lead data-driven initiatives, building advanced modeling capabilities. Leverage your expertise in statistical analysis and machine learning to address complex business questions, deliver actionable insights, and influence decision-making processes. Develop advanced analytics models for the platform, creating algorithms that identify unusual user behaviors and potential security threats across diverse customer environments. This is a remote position, offering flexibility and the opportunity to work with a global, distributed team.

Requirements

• 5+ years of hands-on experience in in data science with a strong background in machine learning
• Proficiency in programming languages such as Python and ML frameworks
• Expertise in anomaly detection and behavioral analytics
• Knowledge of statistical analysis and model validation techniques
• Demonstrated experience with advanced algorithms and ML techniques including clustering, regression, classification, and neural networks
• Strong analytical skills with the ability to interpret large data sets and draw meaningful conclusions
• Excellent communication skills, capable of presenting complex technical information to non-technical stakeholders
• Advanced English level
• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field

Responsibilities

• Develop and optimise complex modelsfor detecting anomalous user behavior
• Create algorithms for identifying potential insider threats and security violations
• Design feature engineering approaches for behavioral data
• Implement unsupervised learning techniques for pattern discovery
• Collaborate with security analysts to validate model effectiveness
• Optimise models for production performance and accuracy
• Collaborate with cross-functional teams to define metrics and key performance indicators, developing dashboards and reporting tools
• Establish best practices for data science methodologies that streamline processes and improve model reliability
• Stay abreast of the latest advancements in data science and machine learning, integrating new techniques and technologies where appropriate

Preferred Qualifications

Experience with security data processing and compliance standards is preferred, ensuring that data handling meets industry regulations and best practices

Benefits

• Competitive salary with a focus on a global market
• Career-growth opportunities
• Flexible Time Off and Paid Time Off benefits
• Ongoing training and development opportunities