82 applicants

Company

GreyNoise Intelligence · 3 hours ago

Data Scientist

United States (Remote)

Full-time

Remote

Senior Level

5+ years exp

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AnalyticsCyber Security

No H1B

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMachine LearningAnomaly DetectionPythonNatural Language ProcessingLarge Language ModelsPyTorchScikit-learnNumpyData VisualizationAWSStatistical AnalysisElasticsearchSQLSnowflakeDockerKubernetes

Required

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.

Preferred

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