[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