Senior Data Scientist, AI Products
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?
What this role actually needs.
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? 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 - L everage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies - erform exploratory and deep-dive a nalysis to understand u ser 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 - C ontribute to a culture of strong technical ownership , partner with DS leadership to keep evolving DS working model and elevate DS impact Requirements: - Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field - 7 + 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 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 Senior Data Scientist, AI Products role.
- 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
- L everage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
- erform exploratory and deep-dive a nalysis to understand u ser 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
- C ontribute to a culture of strong technical ownership , partner with DS leadership to keep evolving DS working model and elevate DS impact
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
- 7 + 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
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Senior Data Scientist, AI Products is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Compensation read
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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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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: 7729761 · Confidence: 88/100 · Last checked: May 7, 2026
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