About Dropbox
The smart workspace for seamless collaboration
Key Highlights
- 700M+ registered users leveraging cloud storage and collaboration
- Headquartered in Mission Bay, San Francisco, CA
- $607.4M raised in funding since IPO in 2018
- Introduced 'Spaces' for enhanced team collaboration
Dropbox, headquartered in Mission Bay, San Francisco, CA, is a leading cloud storage and collaboration platform with over 700 million registered users. Since its IPO in 2018, Dropbox has raised $607.4 million in funding and employs over 1,000 people. The company has transitioned from traditional fil...
🎁 Benefits
Dropbox offers comprehensive medical, dental, and vision coverage, along with a generous PTO policy allowing up to four consecutive weeks off. Employe...
🌟 Culture
Dropbox fosters a culture of innovation and adaptability, focusing on transforming from a storage provider to a collaborative workspace. The company e...
Overview
Dropbox is seeking a Staff Data Scientist to partner with product, engineering, and design teams to drive impact in the Core Experience and AI areas. You'll leverage analytics techniques to improve user engagement and business growth. This role requires expertise in consumer behavior analysis and proficiency in programming languages like Python and R.
Job Description
Who you are
You have a strong background in data science with a focus on product analytics, ideally within a SaaS environment. Your experience includes performing analytical deep-dives to identify problems and opportunities, and you are skilled in designing and executing experiments to inform future experimentation roadmaps. You possess robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation, allowing you to create personalized segmentation strategies that leverage propensity models. You are adept at identifying key trends and building automated reporting and executive-facing dashboards to track acquisition, monetization, and engagement trends. Your leadership and influence skills enable you to advocate for new solutions and build momentum cross-functionally to move ideas grounded in data forward. Proficiency in programming and statistical packages like R or Python is a plus, and you hold a Master's degree or higher in a quantitative discipline such as Statistics, Applied Mathematics, Economics, Computer Science, or Engineering.
Desirable
Experience in product analytics within a SaaS company is highly desirable, as is a strong understanding of user engagement behavior and the ability to derive actionable insights from data. You are someone who can bring strong narrative framing to influence business decisions proactively.
What you'll do
As a Staff Data Scientist at Dropbox, you will partner closely with product, engineering, and design teams to answer key questions that drive impact in the Core Experience and AI areas. Your role will involve solving challenging problems and boosting business growth through a deep understanding of user behaviors with applied analytics techniques. You will perform analytical deep-dives to analyze problems and opportunities, identifying hypotheses and designing experiments to validate them. Your insights will inform future experimentation design and roadmaps, enhancing user engagement and driving product improvements. You will create personalized segmentation strategies leveraging propensity models to enable targeted offers and experiences based on user attributes. Additionally, you will identify key trends and build automated reporting and executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Your ability to monitor and analyze a high volume of data will be crucial in advocating for new solutions and moving ideas forward across teams.
What we offer
At Dropbox, we offer a competitive compensation package, including a salary range of CAD 187,900 to CAD 254,100. You will have the opportunity to work in a collaborative environment that values innovation and creativity. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products. Join us in shaping the future of work and making a meaningful impact on our users' experiences.
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