Senior Data Science Manager, AI Products

1 hour, 4 minutes ago
Full-time
Lead
Data Science and Analytics
Dropbox

Dropbox

Dropbox is a technology company that builds simple, powerful products for individuals and businesses. With over 700 million registered users worldwide, Dropbox offers file sync, sharing, online backup, cloud storage, collaboration tools, and more to st...

Internet Software & Services
1K-5K
Founded 2007

Description

  • Manage and scale a high-performing team of data scientists.
  • Coach and mentor data scientists across different experience levels to support their growth.
  • Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience.
  • Provide technical leadership in a fast-paced environment.
  • Use data-driven insights to identify high-impact opportunities and influence product roadmaps and strategy.
  • Translate complex data insights into clear business implications and recommendations.
  • Partner with cross-functional teams including Product, Engineering, Design, User Research, and senior executives to execute and iterate quickly.
  • Work with Product Engineers and Data Engineers to build scalable data foundations, tools, and processes that support AI/ML growth.
  • Identify what matters most and prioritize work ruthlessly.

Requirements

  • Bachelor’s degree or higher in a quantitative discipline such as Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related field.
  • 10+ years of experience using data-driven analysis to influence product roadmaps and business decisions, preferably in a tech company.
  • 3+ years of direct management experience with data scientists or product analysts.
  • Proven experience 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, preferred.
  • Experience using data to inform AI/ML product development, preferred.
  • Background in SaaS products, preferred.

Benefits

  • US Zone 1 compensation range: $233,800–$316,300 USD.
  • US Zone 2 compensation range: $210,400–$284,600 USD.
  • US Zone 3 compensation range: $187,000–$253,000 USD.

Interested in this position?

Apply directly on the company website

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