Data Scientist

Quick Facts

• Role: Data Scientist (Cyber Threat Analytics and Research)

• Focus: Machine learning, deep learning, and Generative AI for cyber threat detection and investigation support

• Work style: Hybrid; in-office days confirmed by hiring manager

• Travel: 5–10%

Description

You will leverage cutting-edge technologies to perform statistical profiling, inference, classification, clustering, and predictive analysis on cyber data. You will build and deploy sophisticated machine learning and deep learning models to derive insights and defend against cyber-attacks, including user behavior profiling and threat scenario modeling. You will also use Generative AI (LLMs and agentic agents) to auto-triage anomalous behavior and improve cyber investigation efficiency.

Responsibilities

• Analyze cyber event logs using Spark and big data technologies and develop insights using advanced ML methods.

• Translate cyber threat scenarios into technical data problems and build high-fidelity models for unseen threats.

• Develop deep learning models for user behavior profiles (data acquisition, feature engineering, model development, deployment).

• Perform feature engineering across multiple data sources and build/enrich a feature store.

• Use GenAI to auto-triage anomalous user behavior by collecting necessary context.

• Use GenAI to create agentic agents that enhance cyber investigation efficiency.

• Collaborate with data scientists and data engineers to design and develop analytical software and services for security automation.

• Assist with life-cycle management and leadership for information security architecture and technology.

• Communicate findings clearly to technical and non-technical stakeholders.

Requirements

• 2+ years of relevant work experience with a Bachelor’s degree, or 5+ years of relevant work experience.

• Solid hands-on experience building machine learning, deep learning, and AI models.

• Experience with Generative AI/LLMs and AI agents.

• Strong understanding of algorithms and data structures; proficiency in Python and SQL.

• Experience working with large datasets using Hadoop, Spark, or Hive.

• Strong analytic and problem-solving capability.

Benefits

• Medical, Dental, Vision

• 401(k)

• FSA/HSA

• Life Insurance

• Paid Time Off

• Wellness Program

• Potential eligibility for bonus and equity (where applicable)

Work Hours & Travel

• Work hours vary based on department needs.

• Travel requirement: 5–10%.