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.