Data Scientist
Dropbox
Job Overview
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Job Description
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 work.
Team & Role Description
As a Data Scientist at Dropbox, you will partner with product, engineering, and design teams to answer key questions about revenue growth, product optimization, monetization strategies, and high-impact initiatives. You will analyze user behaviors with applied analytics techniques to drive business decisions in our SaaS environment.
Responsibilities
- Develop deep understanding of customer journey phases and metrics.
- Perform analytical deep-dives and design experiments.
- Create personalized segmentation strategies from propensity models.
- Build automated reporting and executive-facing dashboards.
- Extract actionable insights from complex, multi-dimensional datasets.
- Monitor experiments and promote best practices for multivariate testing.
- Translate complex concepts into business implications.
- Collaborate with cross-functional teams including senior executives.
Requirements
- Bachelor’s or higher in a quantitative discipline (Statistics, Applied Mathematics, Economics, Computer Science, Engineering, etc.).
- 3-5 years using analytics to drive business decisions.
- Proven ability to work independently and engage stakeholders.
- Significant experience with SQL and large unstructured datasets.
- Deep understanding of statistical analysis, experiment design and analytical techniques.
- Experience with multivariate experiments to optimize product or revenue flows.
- Strong communication skills and proficiency in R or Python considered a plus.
Preferred Qualifications
- Product analytics experience in a SaaS company.
- Master’s degree or higher in a quantitative discipline.
Compensation & Benefits
This role offers a competitive salary range (CAD $132,600—$179,400 annually), bonus opportunities, RSUs, and a comprehensive benefits package including medical, dental, vision, retirement savings, flexible PTO, income protection, and much more.
Location
This position is remote with hiring restricted to candidates residing in Alberta, British Columbia, Ontario, or Saskatchewan.
Key skills/competency
- Data Analytics
- Customer Segmentation
- SQL
- Experimentation
- Statistical Analysis
- R/Python
- Dashboarding
- Business Insights
- SaaS
- Cross-functional Collaboration
How to Get Hired at Dropbox
- Customize your resume: Tailor content for Dropbox's data science role.
- Highlight analytics skills: Emphasize SQL, R, and Python experience.
- Showcase business impact: Include measurable outcomes and projects.
- Prepare for case studies: Review real business problems and analysis techniques.
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