Senior Data Science Manager, AI Products

Dropbox is a Virtual First company seeking a Senior Data Science Manager for AI Products to lead a team of data scientists and drive the AI-first mission. The role involves managing data science projects, influencing product roadmaps, and fostering a data-informed culture within the organization.

Responsibilities:

• Manage and scale a high performing team of data scientists
• Coach and mentor data scientists of varying experiences to ensure their continued growth
• Plan, execute, and deliver a profolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Identify what matters most and prioritize ruthlessly

Requirements:

• Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• 3+ years of experience directly managing data scientists or product analysts
• Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques
• Experience using data to inform product and business decisions that led to measurable outcomes
• Exceptional verbal and written communication skills
• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product