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ReversingLabs operates the world's largest threat intelligence repository, protecting software development and powering advanced security solutions for Fortune 500 enterprises and leading cybersecurity organizations. The company maintains a file reputation database with records for over 70 billion samples, adding millions daily using in-house classification algorithms to determine whether files, URLs, and domains are malicious or safe.
You will join a small, focused team building the data systems and algorithms that power malware detection and classification. This role combines data analysis, malware classification, and software development with data at its core. Your work will directly shape the accuracy of the company's products and the trust customers place in them.
Key responsibilities include:
- Research and evaluate new and existing detection technologies, recommending improvements to increase classification accuracy and coverage
- Collect, process, and analyze large volumes of structured, semi-structured, and unstructured data from diverse sources, transforming it into reliable insights and actionable decisions
- Build dashboards, monitoring, and alerting systems that track classification quality and engine performance, catch issues early, and support data-driven decisions with vendor comparisons and company-wide statistics
- Write and maintain efficient, clean, production-ready Python code, including libraries, APIs, and services
- Own projects end-to-end and serve as the point of contact for teams integrating the company's algorithms
The role offers hybrid work with flexibility; the company provides paid accommodation and transportation to Zagreb during onboarding for remote employees. You'll work with a dynamic, collaborative team in a fast-growing global company with clear career advancement opportunities.
Requirements:
- 4+ years in data analysis, data science, or similar role working with large datasets
- Strong analytical skills with ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail
- Strong SQL and Python skills for data analysis
- Experience with large analytical databases such as ClickHouse
- Experience with data visualization tools and building dashboards and alerts in Redash, Grafana, or similar tools
- Independence, initiative, and effective communication skills; ability to create informative analysis reports and summaries that effectively communicate key findings
- AI-forward mindset and some experience using LLMs in data workflows, writing queries and scripts, exploring data, and speeding up analysis
Desired skills:
- Background in malware analysis, threat intelligence, or detection engineering, or genuine interest in cybersecurity and malware detection
- Experience with distributed data stores (Scylla), data pipeline tools (Kafka, RabbitMQ, Airflow), and data warehouse modeling
- Knowledge of statistics and experience with statistical software for analyzing datasets
- Experience taking code to production, including Git workflows, CI/CD pipelines, deployment, and versioning
