Dropbox
Cloud Storage • Enterprise • Productivity
Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.
1001 - 5000 employees
Founded 2007
🏢 Enterprise
⚡ Productivity
Staff Data Scientist, AI Products
September 24
Dropbox
Cloud Storage • Enterprise • Productivity
Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.
1001 - 5000 employees
Founded 2007
🏢 Enterprise
⚡ Productivity
📋 Description
• Partner with Product Engineers and Data Engineers to build reliable, efficient, and scalable data foundations, tools, and processes to drive AI/ML capabilities’ long-term growth • Leverage data-driven insights to proactively identify highest-impact opportunities and directly influence product roadmaps and strategies • Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features; propose hypotheses and design & execute experiments with rigor • Translate complex data insights into implications and recommendations for the business via excellent verbal and written communication • Identify what matters most and prioritize ruthlessly for the area you will own • Contribute to a culture of strong technical ownership, coach junior Data Scientists, and partner with Head of Data Science to evolve DS working model and elevate impact • Work with cross-functional teams (Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
🎯 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 • Proven track record of being able to work independently, drive measurable business impact, and proactively engage with business stakeholders with minimal direction • Proficiency in SQL, Python, or other programming/scripting languages • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression and decision trees • Ability to provide data insights and recommendations for 0→1 product even when sample size is small • Strong verbal and written communication skills • Preferred: Experience in startups or building 0→1 products; Expertise in using data to inform AI/ML product development; Background in SaaS product and growth analytics
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