Staff Data Scientist

Dropbox is a Virtual First company. For this role, we are currently only authorized to hire candidates from the following provinces: Alberta, British Columbia, Ontario, and Saskatchewan. 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 who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start‑up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself—Dropbox is ready for you. 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 behaviour, product performance, and market trends to uncover new opportunities for growth, optimisation, and innovation. Our work is highly collaborative: we work closely with Revenue, Product, and Marketing teams to enable data‑driven development and personalised customer solutions. It’s also highly creative, as we experiment to develop tools and dashboards that democratise insights across Dropbox. If you are driven by solving challenging problems and using the power of data to deliver impactful, user‑centred products and services, join our Data Sciences team. Areas of work include Applied Analytics, Experimentation, Data Engineering, Machine Learning, Business Intelligence, Data Visualization, and Statistical Modelling. Role Description We're looking for a Staff Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) areas. This area focuses on improving key parts of the core product through re‑envisioning the home experience, cross‑platform experience, user onboarding, and building new functionality and launching high‑impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviours with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behaviour analysis, and customer segmentation. We’re looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep‑dives to analyse problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behaviour and derive insights Create personalised segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive‑facing dashboards to track the progress of acquisition, monetisation, and engagement trends Identify opportunities, advocate for new solutions and build momentum cross‑functionally to move ideas forward that are grounded in data Monitor and analyse a high volume of experiments designed to optimise the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritise ruthlessly Work with cross‑functional teams (including Data Science, Marketing, 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 8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimise a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SaaS company Master’s or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation Canada Pay Range: $181,900—$246,100 CAD (expected annual salary/OTE) Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus programme or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Benefits Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more Mental health and wellness benefits Monthly Internet Allowance Intern Social Stipend Annual Emerging Talent Summit, travel and hotel accommodations provided Additional Benefits Details Are Available Upon Request. Seniority level Not Applicable Employment type Full‑time Job function Engineering and Information Technology 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 are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, enABLE, TODOS (Latinx), Pridebox (LGBTQ), Vets at Dropbox, and Women at Dropbox. #J-18808-Ljbffr