Armis, the cyber exposure management & security company, protects the entire attack surface and manages an organization’s cyber risk exposure in real time. In a rapidly evolving, perimeter-less world, Armis ensures that organizations continuously see, protect and manage all critical assets - from the ground to the cloud. Armis secures Fortune 100, 200 and 500 companies as well as national governments, state and local entities to help keep critical infrastructure, economies and society stay safe and secure 24/7.
Armis is a privately held company headquartered in California.
The role:
The Data Science role in Armis is critical to the product offering, responsible for all Machine Learning algorithms embedded in the product. From determining accurate profiles for assets based on network data (is this a computer? IP Camera? X-Ray Machine?) to detecting abnormal behavior of assets, we build innovative models to answer our client's most critical needs.
We are looking for an experienced and creative data scientist, with a software development touch, to join our Data Science and Armis family. A data scientist that understands and loves data, and lots of it.
What you will do…
- Lead the research and development of new product features that solves challenging cybersecurity problems, utilizing ML techniques
- Model Building: Design, implement, and optimize machine learning models, including deep learning, using frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn
- Explore and preprocess large, complex datasets, identifying key features and patterns that drive model performance in a cybersecurity context
- Work closely with data analysts, engineers, and product managers to understand requirements, validate model assumptions, and deliver actionable insights.
- Continuously improve model accuracy, scalability, and speed
- Stay current with the latest advancements in data science and apply best practices to ensure optimal performance
- Create data visualizations and reports to communicate findings and insights to both technical and non-technical stakeholders
What we expect…
- Advanced degree in Computer Science, Statistics, Engineering, or a related field, or equivalent professional experience
- Minimum of 3 years of industry experience in data science, researching and solving complex problems using machine learning and deep learning techniques
- Hands-on experience with frameworks such as scikit-learn, PyTorch, Hugging Face, TensorFlow, or equivalent tools for model development and training
- Strong experience in data exploration, visualization, and interpretation
- Proven ability to apply statistical modeling and machine learning methods to real-world problems, ideally in the context of cybersecurity or related fields
- A true team player with a positive attitude, curiosity, and an eagerness to tackle complex problems
The choices you make in your career journey matter. You want to do interesting work in an important field while also having time to live your life, which is why we place so much value in your life-work balance. Armis sets you up for success with comprehensive health benefits, discretionary time off, paid holidays including monthly me days, and a highly inclusive and diverse workplace. Put your unique experiences and perspective to work in an environment where they will enable you to thrive, grow, and live your life with integrity.
Armis is proud to be an equal opportunity employer. We never discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected (or not) status. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization.
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