11 hours ago
• Develop anomaly detection capabilities to safeguard user data & experiences. • Collaborate with cross-functional teams to integrate privacy considerations into product development. • Design and implement features to enhance user safety.
• 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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