11 hours ago
• About LastPass • 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, 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! • Who will you work with? 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. • What are some of the exciting challenges you will be working on? • Lead the design and implementation of anomaly detection systems, develop algorithms to recognise and mitigate potential abuse scenarios, conduct in-depth analysis of large datasets, collaborate with cross-functional teams, and evaluate the performance of anomaly detection systems regularly.
• 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. • 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.
• 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
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