Senior Data Scientist

March 27

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Teramind

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Teramind is a leading provider of behavior analytics and productivity optimization solutions for businesses. The company offers a comprehensive platform focused on cybersecurity, insider threat management, data loss prevention, and user activity monitoring. Teramind's innovative products help organizations enhance their security posture, optimize workforce productivity, and ensure compliance with industry regulations. By utilizing advanced behavior analytics, Teramind helps companies gain critical insights into user actions to mitigate risks and improve operational efficiency. Their services are relevant across multiple sectors, including healthcare, financial services, and customer service, showcasing their versatility in addressing complex security and productivity challenges.

Activity Monitoring • Audit and Forensics • Business Intelligence (BI) Reports • Compliance Management • DLP Technology

51 - 200 employees

Founded 2013

🔒 Cybersecurity

⚡ Productivity

🏢 Enterprise

📋 Description

•Teramind is a hybrid, global workforce building the next-generation Insider Risk Management and User Behavior Analytics platform. •Join our team of innovators who are redefining insider risk management through cutting-edge technology. •As a Senior Data Scientist at Teramind, you will play a pivotal role in leading data-driven initiatives and building advanced modeling capabilities within the team. •You will leverage your expertise in statistical analysis and machine learning to address complex business questions, deliver actionable insights, and influence decision-making processes. •We're seeking a Senior Data Scientist with security analytics experience to develop advanced analytics models for our platform. •You'll create algorithms that identify unusual user behaviors and potential security threats across diverse customer environments. •Develop and optimise complex models for 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.

🎯 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. •Experience with security data processing and compliance standards is preferred, ensuring that data handling meets industry regulations and best practices. •Advanced English level •Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.

🏖️ Benefits

•This is a remote job. Work from anywhere! •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