Data Researcher

About Us
PathID is an early-stage, stealth-mode cybersecurity startup leveraging generative AI, advanced data analytics, and cutting-edge solutions to transform how organizations gain actionable insights from their data. We’ve raised $17 M in seed funding from premier investors—Cyberstarts (backers of Wiz, Noname Security, Transmit Security, Cyera) and Boldstart (investors in Snyk, BigID). Our founders are serial entrepreneurs with multiple exits, and we’re based in vibrant Tel Aviv near the HaShalom train station.

Position Overview
As a Data Researcher, you will build and refine data-driven models, dashboards, and pipelines that translate raw enterprise signals into actionable intelligence. You will also create, deploy, and maintain your models in production environments, delivering end-to-end solutions to end users. Your work will directly inform our AI-driven platforms and drive strategic decision-making for our customers.

Responsibilities

• Operational Analytics & Modeling - Design, implement, and iterate on data models (statistical, ML-based, heuristic) to surface trends, anomalies, and risk indicators across diverse enterprise datasets.
• Pipeline & Dashboard Development - Build ETL pipelines and real-time dashboards that aggregate signals from various systems—enabling stakeholders to monitor performance, compliance, and operational metrics.
• Data Enrichment & Contextualization - Integrate contextual data (e.g., organizational hierarchies, asset inventories, change logs) to enrich raw events into structured insight objects.
• Model Deployment & Maintenance - Create, deploy, and maintain models in production environments, ensuring reliable operation and delivery of insights to end users.
• Collaboration & Integration - Partner with engineering and product teams to embed models and dashboards into self-service portals and automated workflows.
• Innovation & Continuous Improvement - Identify new data sources, labeling strategies, and modeling approaches to advance analytics capabilities and drive higher signal fidelity.
• API & Cloud Platform Research & Exploration - Research, evaluate, and integrate cloud platform services (e.g., AWS, Azure, Google Cloud) and relevant APIs to extend analytics functionality and enhance automated workflows.

Required Skills & Experience

• 3+ years in data analytics, BI, or a research role supporting enterprise operations.
• Python & Data Libraries: Proficient in Pandas, NumPy, and Scikit-learn for preprocessing, modeling, and feature engineering.
• Database & Big Data: SQL expertise; experience with Spark or similar for large-scale data processing.
• Visualization & BI Tools: Hands-on with Tableau, Power BI, or equivalent to craft interactive dashboards.
• Bachelor’s degree in Data Science, Statistics, Computer Science, or equivalent practical experience.
• Strong analytical mindset; adept at turning disparate datasets into strategic insights.
• Excellent communication skills; comfortable presenting to technical and executive stakeholders.

Nice to Have

• Experience with logging and analytics platforms (e.g., Splunk, Elasticsearch).
• Familiarity with graph databases or context-aware simulations.
• Knowledge of enterprise IAM systems (e.g., Okta, Azure AD, AWS IAM) from an operational perspective.
• Background in compliance reporting, policy-as-code, or security governance frameworks.
• Exposure to integrating structured analytics with GenAI/LLM workflows.

Why Join Us?

• Strategic Impact - Your research will shape our AI-driven platforms and empower data-driven decisions.
• Innovative Environment - Collaborate with top-tier engineers and researchers at the intersection of AI, data, and cybersecurity.
• Rapid Growth - See your work deployed in production quickly, driving measurable improvements for our customers.
• Career Development - Thrive in a well-funded startup where ownership, leadership, and domain expertise are rewarded.