Senior Data Scientist

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. More than 10,000 organizations across the globe have used Teramind to mitigate insider threats and protect their sensitive company data with the most robust, enterprise-grade software on the market.

As a global team, Teramind embraces an inclusive and flexible work environment and team culture. We win together, learn from each other, and respect each other while delivering best-in-class security solutions.

About the role

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.

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.

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! We’re a global, distributed team looking for the finest talent. We’ve been thriving as a fully-remote team since 2014. To us, remote work means flexibility and having truly diverse, global teams.

At Teramind, we're a collaborative, forward-thinking team where new ideas come to life, experience is valued and talent is incubated.

• 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

About our recruitment process

We don’t expect a perfect fit for every requirement we’ve outlined. If you can see yourself contributing to the team, we want to hear your story.

You can expect up to 3 interviews. In some scenarios, we’re able to streamline the process to have minimal rounds. Director-level roles and above should expect a more thorough process, with multiple rounds of interviews.

All roles require reference and background checks

Teramind is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration without regard to race, age, religion, color, marital status, national origin, gender, gender identity or expression, sexual orientation, disability, or veteran status.