Remote Manager Product Data Science

Summary

LastPass is seeking a Manager, Product Data Science to lead their data science team and collaborate with various departments to improve products and achieve business growth outcomes. The role involves technical leadership, team development, and structuring and organization.

Requirements

• Proven experience managing data science teams
• Strong technical knowledge of Databricks, Power BI and related technologies
• Excellent communication skills and ability to advocate for your team
• Proven experience presenting results to senior leadership

Responsibilities

• Lead the data science team and help them grow in impact on the business
• Collaborate with teams across the company including product managers, user experience design, engineering, sales, customer success, marketing and finance
• Technical Leadership: Metric operationalization and dashboarding, Design, build, and deploy data pipelines and workflows using Databricks, Develop and optimize Apache Spark applications for data processing and analytics, Integrate Databricks with various data sources and platforms, Implement data quality checks and monitoring processes, Train and deploy Machine Learning algorithms
• Team Development: Foster the career growth of your team members, Be an advocate for your team, Ensure their needs are met and their voices heard, Provide mentorship, guidance, and support to help team members thrive
• Structuring and Organization: Bring structure to the team by defining clear roles, responsibilities, and processes, Align tasks and projects with business objectives and prioritize work on the team, Collaborate with cross-functional teams to drive successful outcomes

Benefits

• Competitive compensation
• Flexible Paid time off policies including but not limited to: Monthly self-care days (12 extra paid days off annually), volunteering 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