Data Scientist
Role Description We're looking for a Data Scientist to partner with product , engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep und
What this role actually needs.
Role Description We're looking for a Data Scientist to partner with product , engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep und Responsibilities: - Develop a deep understanding of customer journey phases and key business metrics - Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments - Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights - Create personalized 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, monetization, and engagement trends. - Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Requirements: - Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field - 3 -5 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 and large unstructured datasets such as Hadoop - D eep understanding of statistical analysis , experimentation design, and common analytical techniques like regression , decision trees - Solid background in running multivariate experiments to optimize a product or revenue flow Company context: Dropbox is the public smart-workspace company building file collaboration, signature, and AI-assisted document tools.
Day-to-day expectations
Dropbox lists these responsibilities for the Data Scientist role.
- Develop a deep understanding of customer journey phases and key business metrics
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
- Create personalized 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, monetization, and engagement trends.
- Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 3 -5 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 and large unstructured datasets such as Hadoop
- D eep understanding of statistical analysis , experimentation design, and common analytical techniques like regression , decision trees
- Solid background in running multivariate experiments to optimize a product or revenue flow
Why this listing is more than a copied job post.
Data Scientist is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
Canada tech market
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Compensation read
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Work authorization read
Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
Because this is remote, country scope and time-zone expectations matter as much as the title. Confirm the employer's allowed work locations on jobs.dropbox.com.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Lead with distributed collaboration, async delivery, and timezone discipline.
Keywords to match against your background
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Apply through the employer source
Open the source listing from jobs.dropbox.com, confirm the role is still active, then apply on the employer or ATS page.
Source: jobs.dropbox.com · Source ID: 7762007 · Confidence: 88/100 · Last checked: May 7, 2026
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