Staff Data Scientist, AI Products

Staff Data Scientist (Dropbox) 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. 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. Leverage data‑driven insights to proactively identify the most impactful 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 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. Contribute to a culture of strong technical ownership, coach junior Data Scientists in the team, and partner with the Head of Data Science to keep evolving the 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 Bachelor’s or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field. 9+ years’ experience leveraging data‑driven analysis to influence product roadmap and business decisions, preferably in a tech company. Proven track record of working independently, driving measurable business impact, and proactively engaging with business stakeholders with minimal direction. Proficiency in SQL, Python, or other programming/scripting languages. Deep understanding of statistical analysis, experiment design, and common analytical techniques like regression and decision trees. Ability to provide data insights and recommendations for products even when sample size is small. Strong verbal and written communication skills. Preferred Qualifications Experience in startups or building new products. Expertise in using data to inform AI/ML product development. Background in SaaS product and growth analytics. Compensation US Zone 1: $219,300 – $296,700 USD; US Zone 2: $197,400 – $267,000 USD; US Zone 3: $175,400 – $237,400 USD. Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use, with Zone 1 covering the San Francisco, New York City, and Seattle metros, Zone 2 covering all other major metros, and Zone 3 covering all other US locations. Company Description Dropbox isn’t just a workplace; it’s a living lab for more enlightened ways of working. We’re a global community of bold visionaries and resourceful doers shaping the future of Dropbox and the future of work. Our Virtual First model combines autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With a start‑up mindset and enterprise‑level opportunities, you can be who you are and grow into who you’re meant to be. Team Description The Dropbox Data Science team transforms data into powerful insights that inform everything we do at Dropbox. Combining applied analytics techniques with deep business insights, we investigate user behavior, product performance, and market trends to uncover new opportunities for growth, optimization, and innovation. Our work is highly collaborative, working closely with Revenue, Product, and Marketing teams to enable data‑driven development and personalized customer solutions. It’s also highly creative, as we experiment to develop tools and dashboards that democratize insights across Dropbox. Benefits Competitive medical, dental, and vision coverage 401(k) plan with a generous company match and immediate vesting Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more Income protection plans: life and disability insurance Business travel protection: travel medical and accident insurance Perks allowance for wellness, learning, development, food and groceries, and more Parental benefits including parental leave, child and adult care, day‑care FSA, fertility benefits, adoption and surrogacy support, and lactation support Access to over 10,000 global co‑working spaces Quarterly cell phone and internet allowance Mental health and wellness benefits Disability and neurodivergence support benefits Dropbox supports responsible use of AI for preparation, but misrepresentation of skills or experience is not permitted. See our AI philosophy. Dropbox is an equal opportunity employer. We welcome everyone, and we do our best to make sure all people feel supported and connected at work. We support members and allies of internal groups such as Asians at Dropbox, Black Dropboxers, enABLE, TODOS (Latinx), Pridebox (LGBTQ), Vets at Dropbox, and Women at Dropbox. #J-18808-Ljbffr