• Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Staff Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team , you’ll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way !

• 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
• L everage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• P erform exploratory and deep-dive a nalysis to understand u ser workflows and engagement patterns on AI features , propose hypothesis , and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• C ontribute to a culture of strong technical ownership , coach junior Data scientists in the team, and partner with Head of Data Science to keep evolving DS working model and elevate DS impact

Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

• 9 + 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 , driver 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, 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 Qualifications
• 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
• Compensation

Canada Pay Range $187,900 — $254,100 CAD

Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field