Senior Data Scientist

Join to apply for the Senior Data Scientist role at Dropbox 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 Product Management Team envisions and builds the future of work while growing our business, one product at a time. We're strategic thinkers and advocates for our users, crafting solutions that make work more intuitive and joyful. Using data, research, and strategy—and a healthy dose of empathy—we guide cross‑functional teams toward the shared goal of creating transformative products that people love to use. If you're passionate about building solutions that reshape how the world works while delighting users in the process, join our Product Management team. Areas of work include Product Management, Product Strategy, User Research, Data Analytics, Product Operations, Growth Strategy, and Go‑to‑Market Planning. 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 Leverage data‑driven insights to proactively identify 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 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 Contribute 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 8+ 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, 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 $157,300—$212,700 CAD The range listed above is the expected annual salary/OTE for this role, subject to change. 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). Benefits Competitive medical, dental and vision coverage* Retirement savings through a defined contribution pension or savings plan** Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh Income Protection Plans: Life and disability insurance* Business Travel Protection: Travel medical and accident insurance* Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more Parental benefits including: Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support Mental health and wellness benefits Additional Benefits Details Where group plans are not available, allowances may be provided Benefit, amount, and type are dependent on geographical location, based upon applicable law or company policy 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