Senior Security Data Analyst

Summary

Join LastPass as a Senior Security Data Analyst Engineer and play a crucial role in developing robust anomaly detection capabilities to protect user data. You will lead the design and implementation of anomaly detection systems, conduct in-depth data analysis, and collaborate with cross-functional teams. This role requires a background in Computer Science, Data Science, or Statistics, proven experience in anomaly detection, strong SQL skills, and excellent communication abilities. LastPass offers a remote-first culture, competitive compensation, flexible PTO, generous parental leave, comprehensive health coverage, home office setup support, and continuous learning opportunities.

Requirements

• Background in Computer Science and/or Data Science and/or Statistics, or a related field
• Proven experience in developing and deploying solutions with a focus on anomaly detection
• Strong SQL knowledge and experience working with large and complex databases
• Proven experience with end-to-end analytical projects
• Familiarity with statistical concepts and data analysis best practices
• Experience with user behaviour analysis of a digital product
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
• Good problem-solving skills, team player, and can-do attitude
• Ability to communicate comfortably with different stakeholder groups with different backgrounds and technical understanding within LastPass
• Good written and verbal communication skills in English

Responsibilities

• Lead the design and implementation of anomaly detection systems to identify deviations from normal user behaviour
• Develop algorithms and models to recognise and mitigate potential abuse scenarios
• Conduct in-depth analysis of large datasets to extract meaningful insights related to user behaviour and safety trends
• Work closely with Data Engineers to ensure data quality, integrity, and accessibility for analysis
• Collaborate with cross-functional teams, including product managers, software engineers, and security experts, to integrate safety and trust features seamlessly into our products
• Collaborate with cross-functional teams to design, develop, and implement features to enhance user safety and trust
• Leverage machine learning techniques to build models for identifying potential abusive patterns in user behaviour
• Evaluate the performance of anomaly detection systems regularly and implement improvements as needed
• Optimise algorithms for scalability, efficiency, and accuracy in real-time anomaly detection scenarios

Preferred Qualifications

• Proficiency in programming languages such as R, Python, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)
• Familiarity with data/ML technologies (e.g., Spark, Hadoop, DataBricks, Snowflake, MLflow) and distributed computing
• Experience with statistical modeling, data mining, and machine learning algorithms
• Experience working on projects related to online safety, trust, or abuse prevention
• Familiarity with tooling related to abuse detection (e.g., Azure Sentinel, DataDog, Crowdstrike or Splunk)
• Knowledge of privacy and ethical considerations in data science
• Experience working with global teams

Benefits

• Remote first culture
• Competitive compensation
• Flexible Paid Time Off policies, including but not limited to: Quarterly Self-Care Days (4 extra paid days off annually) and Volunteer Days
• Generous Parental leave
• Comprehensive health coverage, dependents included
• Home office setup support
• LastPass families free account up to 5 members
• Continuous learning and development opportunities