Senior Security Data Analyst

LastPass is looking for a Senior Security Data Analyst Engineer for our Safety & Trust team:

As a Senior Security Data Analyst, you will play a crucial role in developing robust anomaly detection capabilities to safeguard user data & experiences and staying abreast of industry best practices and emerging threats.

If you are passionate about user safety, anomaly detection, and behaviour pattern analysis, have a keen eye for security and a solid technical background, and thrive in a collaborative and innovative environment, then this is the role for you.

Your impact will directly shape the intelligent, customised, and delighting client experiences we create. It's not just a role; it's a chance to influence innovation!

We invite you to apply and be part of our innovative and collaborative team.

Who will you work with?

As a Senior Security Data Analyst in Safety & Trust for LastPass, you will collaborate with a diverse and talented cross-functional team to ensure privacy considerations are integrated into every LastPass product development and deployment aspect. Your interactions will span across various departments, fostering a collaborative and innovative work environment, including Product Managers, Data Scientist, Software Engineers, Security Experts, Data Engineers, Incident Response, and Cross-Functional Teams in Hungary, Portugal, and the United States of America.

What are some of the exciting challenges you will be working on?

Anomaly Detection

• 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.

Data Analysis

• 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.

Collaboration

• Collaborate with cross-functional teams, including product managers, software engineers, and security experts, to integrate safety and trust features seamlessly into our products.

Safety & Trust Feature Development

• 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.

Evaluation and Optimisation of Anomaly Detection Systems

• 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.

What does it take to work at LastPass?

• 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.

It's great, but not required:

• 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.