Data analyst machine learning

Description

Keeper Security is seeking a Data Analyst to join the AI & Threat Analytics team and support the development of KeeperAI Guardian, our AWS Neptune–based knowledge graph for behavioral threat detection and analysis. This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro areas.

Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and sold in over 150 countries. Join one of the fastest-growing cybersecurity companies and play a key role in preparing and analyzing graph-based security data that directly supports machine learning models and threat research.

About Keeper

Keeper Security is transforming cybersecurity for organizations around the world with next-generation privileged access management. Keeper’s zero-trust and zero-knowledge cybersecurity solutions are FedRAMP and StateRAMP Authorized, FIPS 140-2 validated, as well as SOC 2 and ISO 27001 certified. Keeper deploys in minutes, not months, and seamlessly integrates with any tech stack to prevent breaches, reduce help desk costs and ensure compliance. Trusted by thousands of organizations to protect every user on every device, Keeper is the industry leader for best-in-class password management, secrets management, privileged access, secure remote access and encrypted messaging. Learn more at KeeperSecurity.com.

About The Role

As a Data Analyst on the KeeperAI Guardian team, you will act as the bridge between raw graph data and actionable threat intelligence. You will work hands-on with AWS Neptune, writing complex Gremlin queries to extract insights, validate entity relationships, and uncover behavioral patterns in security telemetry data. Your analysis will directly support ML engineers and security researchers building models for anomaly detection, threat classification, and behavioral risk scoring.

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

Requirements

• 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

Preferred Qualifications

• 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

Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal

E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Classification: Exempt

Keeper Candidate Privacy Notice

This notice explains how Keeper Security processes your personal data during recruitment. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how personal data is processed) will be Keeper Security Inc. (US), Keeper Security EMEA Ltd. (Ireland), or Keeper Security APAC K.K (Japan).

• Data We Collect

Information You Provide

• Contact details, CV/resume, cover letter
• Employment history, qualifications, work eligibility
• Application responses and uploaded documents

Information We Generate

• Interview notes, assessments, communications
• Scheduling information

Information From Others

• Recruiter/referral information who submit your profile
• References (with your consent, before final offer)
• Public professional profiles
• Background verification (post offer)

Voluntary Diversity and Equal Opportunity Information

• We may ask you to voluntarily provide diversity information including race/ethnicity, gender, disability status and veteran status (US). Providing this information is optional and Keeper collects this data in order to comply with EEOC and similar requirements
• How We Use Your Data
• Assess your application and suitability
• Manage interviews and recruitment workflow
• Consider you for other/future roles (we may seek your consent to keep your information on our systems beyond the retention period specified)
• Comply with employment law obligations
• Legal Basis
• Legitimate Interests (recruitment management, security and integrity of the hiring process)
• Contracting steps (for progressed candidates)
• Legal and regulatory compliance obligations; explicit consent where required
• Who We Share Information With

Internal

• HR, hiring managers, interviewers*, IT support for system administration
• Note - diversity and equal opportunity data is not shared with hiring managers.

Third Parties

Service providers who assist with:

• Applicant tracking, recruitment systems and assessment providers
• Background verification vendors (post offer)
• Recruitment agencies (where applicable)
• Tools to support communication, collaboration and to securely store your data

Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place.

• International Transfers

Your data may be accessed by Keeper entities globally as needed for the purposes of hiring and decision making. We protect any such data transfer between Keeper entities using appropriate safeguards under applicable data protection laws.

• Security

We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards.

• Retention

We keep your data for 24 months from your last application activity, then delete or anonymize it.

Exceptions

• You opt into our talent database for further retention by providing consent (extended retention)
• You're hired (transfers to employee records)
• Your Rights

You have the following rights and can contact us at the email below to exercise them:

• Access, correct, or delete your data, subject to applicable law and retention requirements
• Object to or restrict processing
• Withdraw consent (where applicable)
• Request data portability
• Lodge a complaint with your data protection authority

If you become an employee, your rights regarding your employee record are governed by our internal Employee Privacy Notice and certain data will be retained as required under relevant laws such as employment or tax law.

When you request access to your personal data, some information may be redacted if it includes the personal data of other individuals or information that we must protect in order to preserve their privacy rights.

• Automated Decisions

Keeper does not make hiring decisions using solely automated processing.

• Contact - Candidates can send privacy questions to: [email protected]