Data Scientist

Summary

Join GreyNoise, a mission-driven security startup, as a Data Scientist specializing in AI and Machine Learning. You will leverage cutting-edge AI/ML techniques, including LLMs, to analyze vast datasets from a global internet honeypot sensor network. Your responsibilities include developing and deploying machine learning models for real-time anomaly detection and threat identification, researching and implementing new LLM technologies, and collaborating with cross-functional teams. You will also present findings to the broader community and ensure data quality. This fully remote US-based position requires 5+ years of data science experience, proficiency in machine learning frameworks, and strong programming skills in Python. GreyNoise offers competitive benefits, including comprehensive health insurance, a generous 401k match, unlimited paid time off, remote work, and professional development opportunities.

Requirements

• 5+ years of data science experience and/or an advanced degree in a relevant discipline (Data Science, Machine Learning, Operations Research, etc.)
• Experience implementing machine learning techniques with real-world data, preferably in computer networking or cybersecurity; specifically clustering and anomaly detection
• Proficiency with machine learning frameworks and libraries such as PyTorch, scikit-learn, and numpy
• Experience with natural language processing (NLP) techniques and working with LLMs
• Strong programming skills in Python and familiarity with statistical analysis
• Experience in data visualization with a variety of tools and working with front-end developers to bring visualizations to production
• Familiarity with database and big data technologies (Elasticsearch, SQL, Snowflake, etc.)
• Knowledge of cloud-based hosting and ML services, particularly AWS
• Understanding of containerization and deployment technologies like Docker and Kubernetes
• Ability to communicate technical concepts effectively, both to teammates and external audiences
• Excellent problem-solving skills and adaptability in a dynamic environment

Responsibilities

• Develop and deploy machine learning models for real-time anomaly detection and threat identification
• Automate the discovery of interesting and anomalous data from our global honeypot network
• Research and implement new LLM technologies to help "read and understand" complex internet traffic patterns
• Integrate new visualizations and statistical models into our product to enhance user experience and data interpretation
• Ensure data quality by collaborating with infrastructure engineers to develop tests and alerts for detecting defects and determining their origin
• Optimize data pipelines in collaboration with data engineers for efficient data processing
• Interface directly with customers to capture analytical requests and translate them into actionable engineering requirements
• Present findings through social media, blogs, and conferences to engage with the broader community
• Stay current with the latest AI/ML research and cybersecurity trends to continuously improve our solutions
• Monitor and tune ML models in production environments to ensure scalability and reliability

Preferred Qualifications

• 2+ years of experience in the cybersecurity industry or relevant training
• Experience developing prototypes using AWS or other cloud providers
• Basic understanding of information security and networking topics, such as internet protocols (e.g., HTTP, SSH, Telnet), remote service exploitation, Denial-of-Service attacks, and PCAP data

Benefits

• Equity in a high-growth, Series-A startup
• 100% covered health, dental, vision, and life plans for all employees
• Competitive 401k employer match of 6%, which is special for a startup. This will be 100% matched and vested from day 1
• Unlimited paid time off. To encourage time off from work and ensure overall employee health and wellness, GreyNoise strongly recommends each employee to take at least 120 hours of PTO (3 weeks) annually, including at least five consecutive business days
• Remote-first culture. While we are headquartered in the Washington DC area, we have a distributed workforce -- with the majority of our team working remotely from across the country
• Equipment budget. Every new employee gets $3,000 to spend on equipment, so you can pick whatever works best for you
• Paid family leave for all employees. We offer 4 months of paid leave (birth or adoption), plus 2 months of optional unpaid leave, so new parents have time to adjust to the new life (and work) schedule
• Learning & development budget. All employees receive an annual $1,500 towards professional development related to their job function. The stipend can be applied to tuition, books, conferences, and more
• Company offsites and monthly local hangouts to encourage team bonding