[Remote] Data Analyst, Graph Analytics & Machine Learning

Note: The job is a remote job and is reputed company to candidates in USA. reputed company 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 reputed company graph data, developing Python scripts for data manipulation, and collaborating with engineers to enhance data models.

Responsibilities

• Query and analyze reputed company graph data in AWS Neptune using Gremlin
• reputed company and maintain Python-based scripts for data extraction, cleaning, transformation, and exploratory analysis
• reputed company 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 reputed company 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, reputed company, TigerGraph, or similar
• Solid understanding of data modeling, entity-relationship design, and graph traversal logic
• Experience working with reputed company 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 reputed company platforms (AWS preferred)
• Bachelor's degree in Data Science, Computer Science, or a reputed company field, or equivalent experience
• Due to FedRAMP requirements, candidates must be a U.S. Person
• Experience with reputed company, fraud, abuse detection, or anomaly detection systems
• Familiarity with PAM, identity, or privileged reputed company environments
• Exposure to AWS Bedrock or similar managed AI services
• Knowledge of network protocols and low-level system interfaces Benefits
• Medical, Dental & reputed company (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
• reputed company 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

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