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Senior Data Scientist, AI Products at Dropbox. . Location: Remote - US: Select locations. 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 Senior 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 Data Science, 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. !. . Responsibilities. . . 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. , partner with DS leadership 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. . . Requirements. . . Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field. . 7. + . 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. . . . Compensation. . US Zone 1. . This role is not available in Zone 1. US Zone 2. $173,700. - . $234,900. . USD. US Zone 3. $154,400. - . $208,800. . USD