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β’ GreyNoise is a mission driven security startup focused on helping organizations understand and mitigate risks from Internet scanning and exploitation. β’ We are seeking a passionate Data Scientist with a strong background in AI and Machine Learning to join our innovative team. β’ Work closely with Engineering, Research, and Product Development teams to develop and deploy machine learning models for real-time anomaly detection and threat identification. β’ Collaborate with cross-functional teams to present findings through social media, blogs, and conferences to engage with the broader community.
β’ 5+ years of data science experience and/or an advanced degree in a relevant discipline (Data Science, Machine Learning, Operations Research, etc.) β’ Experience implementing machine learning techniques with real-world data, preferably in computer networking or cybersecurity; specifically clustering and anomaly detection β’ Proficiency with machine learning frameworks and libraries such as PyTorch, scikit-learn, and numpy β’ Experience with natural language processing (NLP) techniques and working with LLMs β’ Strong programming skills in Python and familiarity with statistical analysis β’ Experience in data visualization with a variety of tools and working with front-end developers to bring visualizations to production β’ Familiarity with database and big data technologies (Elasticsearch, SQL, Snowflake, etc.) β’ Knowledge of cloud-based hosting and ML services, particularly AWS β’ Understanding of containerization and deployment technologies like Docker and Kubernetes β’ Ability to communicate technical concepts effectively, both to teammates and external audiences β’ Excellent problem-solving skills and adaptability in a dynamic environment
β’ π΅ Equity in a high-growth, Series-A startup β’ π©ββοΈ 100% covered health, dental, vision, and life plans for all employees β’ 6οΈβ£ Competitive 401k employer match of 6%, which is special for a startup. This will be 100% matched and vested from day 1 β’ π 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 β’ π 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 β’ π» Equipment budget. Every new employee gets $3,000 to spend on equipment, so you can pick whatever works best for you β’ πΌ 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 β’ π 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 β’ π΄ Company offsites and monthly local hangouts to encourage team bonding
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π Data Scientist
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