[Remote] Data Analyst, Graph Analytics & Machine Learning

Note: The job is a remote job and is open to candidates in USA. Keeper Security is seeking a Data Analyst to join the AI & Threat Analytics team and support the development of KeeperAI Guardian, a knowledge graph for behavioral threat detection and analysis. The role involves querying complex graph data, developing Python scripts for data manipulation, and collaborating with engineers to enhance data models.

Responsibilities
• Query and analyze complex graph data in AWS Neptune using Gremlin
• Develop and maintain Python-based scripts for data extraction, cleaning, transformation, and exploratory analysis
• Perform data validation, profiling, and consistency checks across multiple data sources and entity types
• Define and document entity relationships, schema mappings, and graph traversal patterns
• Produce curated datasets for machine learning model training, evaluation, and threat research
• Identify data quality issues, missing relationships, anomalous patterns, and signal gaps through exploratory analysis
• Create and maintain query templates, analysis notebooks, and data lineage documentation
• Collaborate with data engineers and ML engineers to refine data models and improve graph structure

Skills
• 2–4+ years of experience in data analysis, data operations, or graph data management in a technical environment
• Strong proficiency in Python for data manipulation and analysis (Pandas, NumPy)
• Hands-on experience writing and optimizing Gremlin queries for graph traversal
• Experience working with graph databases such as AWS Neptune, Neo4j, TigerGraph, or similar
• Solid understanding of data modeling, entity-relationship design, and graph traversal logic
• Experience working with complex data pipelines in Python-based environments
• Working knowledge of SQL as a supporting data analysis tool
• Strong analytical reasoning and ability to communicate technical findings to diverse audiences
• Familiarity with cloud platforms (AWS preferred)
• Bachelor's degree in Data Science, Computer Science, or a related field, or equivalent experience
• Due to FedRAMP requirements, candidates must be a U.S. Person
• Experience with security, fraud, abuse detection, or anomaly detection systems
• Familiarity with PAM, identity, or privileged access environments
• Exposure to AWS Bedrock or similar managed AI services
• Knowledge of network protocols and low-level system interfaces

Benefits
• Medical, Dental & Vision (Inclusive of domestic partnerships)
• Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
• Voluntary Short/Long Term Disability Insurance
• 401k (Roth/Traditional)
• A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
• Above market annual bonuses

Company Overview
• Keeper Security is transforming cybersecurity for millions of individuals and thousands of organizations globally. It was founded in 2011, and is headquartered in Chicago, Illinois, USA, with a workforce of 501-1000 employees. Its website is https://www.keepersecurity.com.

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