Senior Security Data Analyst

About LastPass
LastPass is a leader in password and identity management, making it easier to log into life and work. Trusted by 100,000 businesses and millions of users, LastPass combines advanced security with effortless access for individuals, families, small business owners, and enterprise professionals. With LastPass, important credentials are protected and private – and always within reach.

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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.

Why LastPass? 

• Market-leading password manager
• High-growth, collaborative environment with inclusive teams
• 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

Unlock your potential with us - your skills, experience, and unique perspective matter more than just checking the boxes. Apply today, and let's build the future together!

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