Job Description

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.



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, 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 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).



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 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. If you are driven by solving challenging problems and using the power of data to deliver impactful, user-centered 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 Modeling.



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.