Senior Data Scientist, AI Products

Senior Data Scientist

Dropbox is a Virtual First company. For this role, we are hiring in Zones 2 and 3. Please refer to our Compensation section below to see what neighborhoods fall under each Zone.

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
• 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
• 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

Compensation

US Zone 2

$173,700—$234,900 USD

US Zone 3

$154,400—$208,800 USD

The range(s) listed above is the expected annual salary/OTE (On-Target Earnings) for this role, subject to change. Please note, OTE are for sales roles only. 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). Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. We target most new hire offers between the minimum up to the middle of the range. Dropbox uses the zip code of an employee's remote work location to determine which metropolitan pay range we use. Current US Zone locations are as follows:

• US Zone 1: San Francisco metro, New York City metro, or Seattle metro
• US Zone 2: California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Illinois (Chicago metro), Indiana (Chicago metro), Maryland, Massachusetts, Michigan (Chicago metro), New Hampshire, New Jersey (outside NYC metro), New York (outside NYC metro), Oregon, Pennsylvania (D.C. metro), Pennsylvania (outside NYC metro), Texas (Austin metro) Virginia (DC metro), Washington (outside Seattle metro), Washington DC metro, West Virginia (DC metro), Wisconsin (Chicago metro)
• US Zone 3: All other US locations

Company Description

Dropbox isn't just a workplace—it's a living lab for designing a more enlightened way of working. We're a global community of bold visionaries and resourceful doers shaping the future of Dropbox and, in turn, the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, creating space for meaningful work and lasting relationships. With a startup mindset and enterprise-level opportunities, we expect Dropbox employees to think critically, stay curious, and use modern tools, including AI, to improve how work gets done. Here, you can be who you are and grow into who you're meant to be. You own your impact, helping make work more intuitive, joyful, and human for yourself and hundreds of millions of people worldwide. If you're ready to push boundaries and challenge yourself, Dropbox is ready for you.

Team Description

The Dropbox Data Science team turns data into insights that shape every decision we make. We uncover customer needs, investigate trends, and help teams set ambitious goals — then guide them toward the smartest ways to achieve them. Partnering with Revenue, Product, and Marketing, we create data-driven strategies, personalized solutions, and tools 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.

Virtual First

Dropbox's Virtual First way of working is designed to help people do their best work with flexibility, autonomy, and connection. Day to day, teams work remotely with nonlinear schedules and core collaboration hours that support deep focus and individual working styles. We prioritize asynchronous communication to improve clarity, respect deep work time, and reduce unnecessary meetings. While remote work is the primary experience for our employees, we also prioritize intentional, in-person connection. We bring teams together through regular team gatherings, on-demand workspaces, and Dropbox Neighborhood events in order to strengthen team cohesion, foster creativity, and enhance momentum. Virtual First is built to provide the same access to opportunity, growth, and impact for everyone, regardless of location.

This role requires travel to offsites and various other team gatherings (approximately 5-10% of the year or 2-3 days per quarter). We provide advance notice when possible and encourage candidates to discuss any accommodation needs during the interview process.

AI Fluency

AI fluency is a core part of how we work and grow. It's not about being an expert—it's about using these tools thoughtfully and effectively to improve your work and support others. We look for four key behaviors in candidates:

• Ownership : You use AI responsibly by protecting data, applying sound judgment, and taking accountability for the quality and accuracy of your work.
• Experimentation: You explore new AI capabilities and apply them to improve workflows within approved tools and practices.
• Leverage: You use AI to enhance thinking, improve efficiency, and increase your impact and your team's.
• Learning: You stay current on emerging AI tools and trends, continuously build your skills, and share what you learn with others.

Together, these behaviors help build a workforce where technology amplifies human judgment, creativity, and impact. Dropbox supports responsible use of AI for preparation, but misrepresentation of skills or experience is not permitted. See our AI Principles . 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.