Senior Data Scientist

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Teramind

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Cybersecurity • SaaS • Productivity

Teramind is a workforce intelligence and security software company that provides cloud and self-hosted solutions for employee monitoring, insider threat detection, data loss prevention (DLP), and compliance monitoring. Its AI-powered platform aggregates behavior telemetry, session recordings, alerts, and predictive analytics to help organizations mitigate insider risk, enforce regulatory compliance, and optimize employee productivity across hybrid workforces. Teramind offers integrations, managed services, and configurable deployment options for industries such as healthcare, financial services, and call centers.

51 - 200 employees

Founded 2014

🔒 Cybersecurity

☁️ SaaS

⚡ Productivity

📋 Description

• Design and implement ML models for behavior prediction, anomaly detection, and risk scoring • Develop and fine-tune transformer-based models • Optimize models for production deployment—balancing accuracy, latency, and resource efficiency • Build end-to-end pipelines from raw behavioral signals to production-ready features • Partner with product and engineering to translate business problems into data science solutions • Run rigorous experiments—A/B tests, causal inference, statistical validation—to measure real impact • Prototype rapidly, iterate based on customer feedback, and ship models that scale • Contribute to the technical foundations and best practices of a growing DS function

🎯 Requirements

• Deep hands-on expertise in Python, SQL, and ML framework (TensorFlow, PyTorch, Scikit-learn, XGBoost) • 5+ years of experience shipping ML models to production with measurable product or business impact • Strong fundamentals in statistics, causal inference, and experimental design • Experience with transformer architectures • Familiarity with model optimization for production constraints • Comfort working in ambiguity—scoping problems, finding data, and driving to solutions independently • Experience with large-scale data processing (Spark, BigQuery, or similar) is a plus • Master's degree in a quantitative discipline such as Statistics, Engineering, Computer Science, or equivalent practical experience

🏖️ Benefits

• Collaboration with a forward-thinking team where new ideas come to life, experience is valued, and talent is incubated. • Competitive salary • Career growth opportunities • Flexible paid time off • Laptop reimbursement • Ongoing training and development opportunities