AI-driven threats and human error are today’s biggest enterprise security risks. Cybercriminals don’t hack systems—they exploit people. Human errors drive 90% of security breaches, making human behavior the primary and growing attack surface.
Fable is a security platform that mitigates human risks to the business. We built the first AI-native Human Behavior Platform to eliminate human risk wherever employees work. By leveraging GenAI and behavioral systems, we automatically detect at-risk employees, deliver personalized interventions at critical moments, and remove tangible risks to the business - at scale.
Backed by Greylock Partners and founded by early Abnormal Security team members, Fable is solving cybersecurity’s biggest challenge in a multi-billion-dollar market. Our team includes alumni from Meta, Twitter, Flexport, and top-tier universities like Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, and USC. We are experiencing explosive growth, making this an career-defining opportunity to join and shape the future of security.
Why Join Fable as a Data Scientist?Be the first data science hire at a stealth cybersecurity startup with massive potential.
Work closely with co-founders with a strong background in data science.
Help invent a new category in cybersecurity, solving problems no one else has tackled before.
Build products that integrate AI and data science at their core.
Join a small, fast-moving team poised to double in size within the next year.
As the first Data Scientist, you will play a critical role in shipping our core product. You will go deep into raw data from various APIs to generate insights into risky behavior, create models to predict risk factors and identify risky individuals, and use AI to develop products that incorporate these signals. You will work cross-functionally with engineers, product managers, and security experts to drive data-powered decision-making and innovation.
Responsibilities:Expand the core product capabilities of Fable’s risk analysis engine.
Go deep into APIs, understand raw data, and identify insights that highlight risky behaviors.
Track emerging security threats and develop new indicators of employee risk.
Utilize behavioral analytics and risk modeling to improve security outcomes.
Implement new risk attributes and cohorts directly into production code.
Experiment with new AI tooling – leverage cutting-edge AI to create new data products, generate threat intelligence and predictive security insights.
Develop ML models and analytics on employee behavior data to further enhance risk assessment.
Recent experience in a startup environment strongly preferred
5+ years of experience in data science, ML, or AI-driven product development.
Expertise in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
Strong background in behavior analytics, predictive modeling, NLP, or anomaly detection
Experience building and deploying data products at scale
Ability to translate business problems into data-driven solutions.
Experience with cybersecurity, fraud detection, or risk modeling.
Familiarity with GenAI and LLMs.
Prior experience at an early-stage startup.
Experience in data engineering and pipeline automation.
We work from our San Francisco office three days a week, fostering collaboration and deep focus.
We emphasize mutual trust, high execution, and delivering differentiated product experiences.
We prioritize impact—every team member plays a key role in shaping our success.
Join us in reinventing cybersecurity for humans with AI and data science. Let’s build something incredible together.
Apply Now