Staff Data Scientist, AI Products

Overview 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. 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. The 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. 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. We investigate user behavior, product performance, and market trends to uncover new opportunities for growth, optimization, and innovation. Our work is highly collaborative: we work 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. Areas of work include Applied Analytics, Experimentation, Data Engineering, Machine Learning, Business Intelligence, Data Visualization, and Statistical Modeling. 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. 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 hypotheses, and design & execute experiments with rigor and efficient data techniques Translate complex data insights into implications and recommendations for the business via excellent verbal and written communication 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 Head of Data Science to evolve 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 Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 10+ 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 $181,900—$246,100 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 Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include, but are not limited to: 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. 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. Job Details Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development, IT Services and IT Consulting, and Technology, Information and Internet Referrals increase your chances of interviewing at Dropbox by 2x Get notified about new Data Scientist jobs in Canada. Other Roles Greater Montreal Metropolitan Area $80 - $120 2 days ago Machine Learning Researcher (Applied LLMs) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr