Data Scientist
Tel Aviv-Yafo, Tel Aviv District, IL
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Cynet
Cynet All-in-One unifies a full suite of security capabilities on a single, simple solution, backed by 24/7 expert support.Description
Shape the Future of Cybersecurity with Us
Are you driven by curiosity, innovation, and the desire to turn cutting-edge research into real-world impact?
Join Cynet, an established but rapidly growing cybersecurity startup, where you'll be part of a small, elite team building groundbreaking AI-powered security products from the ground up. Work alongside top minds in security research, R&D, product, and data engineering to drive innovation and create real value for global customers.
This is your chance to contribute to a foundational mission - developing AI technology that proactively protects against today’s most sophisticated cyber threats.
What will you do
As a Data Scientist at Cynet, you’ll play a central role in shaping our future technology. You’ll:
- Own AI product creation end-to-end - from the initial concept through building prototypes to full-scale production.
- Drive innovation by developing and integrating ML and Generative AI solutions into Cynet’s core cybersecurity products: Endpoint, XDR, Network Detection, and Posture Management.
- Analyze massive volumes of security data to uncover hidden patterns, threats, and insights.
- Develop and fine-tune models with state-of-the-art optimization strategies and performance metrics.
- Contribute to and expand our AI infrastructure, including data pipelines, evaluation tools, and deployment frameworks.
- Conduct rigorous experimentation, explain and monitor the real-world performance of your models.
- Write production-ready code that makes it into our deployed AI systems.
Requirements
We’re looking for someone who’s not just a great engineer, but a passionate innovator who puts their soul into solving tough problems and delivering value.
- 3+ years of experience in researching, developing and delivering ML solutions in production-scale environments.
- Solid foundation knowledge of data science, machine learning, and statistics.
- Demonstrated analytical thinking and a deep understanding of data - its structure, context, and the insights it can unlock.
- Strong Python programming skills with fluency in AI/ML frameworks: Scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, etc.
- Expertise in working with large-scale datasets using SQL, Spark, or similar tools.
- Proven success translating product or business needs into working AI systems.
- Fast learner, creative, and comfortable working in a dynamic startup environment.
- Good communication skills, able to explain complex ideas and findings to both technical and business audiences.
Bonus Points (Preferred)
- Experience with cybersecurity-related data or product domains.
- Hands-on knowledge in working with LLMs and building AI agents.
- Familiarity with AWS cloud environment and MLOps (ML Orchestration, Docker, Kubernetes, MLflow, etc.).
Ready to Empower the Future?
At Cynet, you won’t just be another Data Scientist. You’ll be a thought leader. A builder. An innovator. This is a unique opportunity to envision and shape how AI defends tomorrow’s digital landscape.
If you're ready to dive deep, move fast, and create meaningful impact - we’d love to meet you.
Apply now and let’s build the future of cybersecurity together.
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Tags: AWS Data pipelines Docker Engineering Generative AI Kubernetes LangChain LLMs Machine Learning MLFlow ML infrastructure MLOps Pipelines Python PyTorch R R&D Research Scikit-learn Security Spark SQL Statistics TensorFlow
Perks/benefits: Startup environment
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