Senior Data Science Engineer

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

As a Data Science Engineer, you will play a crucial role in developing advanced AI features, implementing robust anomaly detection systems to safeguard user data and experiences, and staying abreast of industry best practices and emerging threats.

If you are passionate about user safety, anomaly detection, and behavior 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, customized, 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 Data Science Engineer in Safety & Trust at LastPass, you will collaborate with a diverse and talented cross-functional team to ensure privacy considerations are integrated into every aspect of LastPass product development and deployment. Your interactions will span various departments, fostering a collaborative and innovative work environment, including Product Managers, Software Engineers, Security Experts, Data Engineers, Incident Response, and Cross-Functional Teams in Hungary, Portugal, and the United States.

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

Safety & Trust AI Feature Development

• Collaborate with cross-functional teams to design, develop, and implement AI features that enhance user safety and trust.
• Leverage machine learning techniques to build predictive models for identifying potential abusive patterns in user behavior.

Anomaly Detection

• Lead the design and implementation of anomaly detection systems to identify deviations from normal user behavior.
• Develop algorithms and models to recognize and mitigate potential abuse scenarios.

Data Analysis

• Conduct in-depth analysis of large datasets to extract meaningful insights related to user behavior 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.

Model Evaluation and Optimization

• Regularly evaluate the performance of machine learning models and implement improvements as needed.
• Optimize algorithms for scalability, efficiency, and accuracy in real-time anomaly detection scenarios.

What does it take to work at LastPass?

• Background in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in developing and deploying machine learning models, with a focus on anomaly detection.
• 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.
• Strong understanding of statistical modeling, data mining, and machine learning algorithms.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills, a team player, and a can-do attitude.
• Ability to communicate effectively with diverse stakeholder groups with varying backgrounds and technical understanding within LastPass.
• Strong written and verbal communication skills in English.

It's great, but not required:

• Experience working on projects related to online safety, trust, or abuse prevention.
• Familiarity with tools 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.