Description:

GreyNoise is a mission-driven security startup focused on helping organizations understand and mitigate risks from Internet scanning and exploitation.
The company provides real-time intelligence on actors scanning the Internet and their attempts to exploit vulnerabilities on corporate networks.
The intelligence is generated from a global fleet of thousands of sensors observing the Internet, utilizing advanced data science techniques and AI.
The role of Data Scientist involves designing and implementing advanced machine learning models to detect anomalies, uncover hidden patterns, and predict emerging threats in real-time internet traffic.
Responsibilities include developing and deploying machine learning models, automating data discovery, researching new LLM technologies, integrating visualizations, ensuring data quality, optimizing data pipelines, interfacing with customers, presenting findings, and staying current with AI/ML research and cybersecurity trends.

Requirements:

Candidates must have 5+ years of data science experience and/or an advanced degree in a relevant discipline such as Data Science or Machine Learning.
Experience implementing machine learning techniques with real-world data, particularly in clustering and anomaly detection, is required.
Proficiency with machine learning frameworks and libraries such as PyTorch, scikit-learn, and numpy is necessary.
Experience with natural language processing (NLP) techniques and working with LLMs is essential.
Strong programming skills in Python and familiarity with statistical analysis are required.
Candidates should have experience in data visualization and working with front-end developers.
Familiarity with database and big data technologies like Elasticsearch, SQL, and Snowflake is needed.
Knowledge of cloud-based hosting and ML services, particularly AWS, is important.
Understanding of containerization and deployment technologies like Docker and Kubernetes is required.
Candidates must be able to communicate technical concepts effectively and possess excellent problem-solving skills.

Employees receive equity in a high-growth, Series-A startup.
Health, dental, vision, and life plans are 100% covered for all employees.
A competitive 401k employer match of 6% is offered, which is fully matched and vested from day one.
Unlimited paid time off is provided, with a recommendation to take at least 120 hours of PTO annually.
The company promotes a remote-first culture, allowing employees to work from anywhere in the US.
New employees receive a $3,000 equipment budget to choose their preferred work tools.
Paid family leave of 4 months is available for all employees, with an additional 2 months of optional unpaid leave.
An annual learning and development budget of $1,500 is provided for professional development.
The company organizes offsites and monthly local hangouts to encourage team bonding.