Role Description
How many times do you get an opportunity to be at the ground floor on a very big and important mission? What if you get to be one of the top contributors defining the mission, guiding our teams and influencing the direction of Dropbox AI-first mission? As a Senior Data Scientist for this new division, you will exactly get to do that. You will join a team of top-tier data scientists and be an inherent part of the product org to create and scale this new business.
As a ground floor opportunity for this startup team, we need this senior DS to build a top-tier data-informed culture with a lot of focus on AI/ML impact and execution!
Responsibilities
- You will partner closely with leads across all functions while being focused on the AI/ML team work - Product, Engineering, Design, and Research
- You will build the reliable, efficient, and scalable data foundations and daily execution standards, tools, and processes for our AI/ML capabilities’ long-term growth
- You will contribute to a culture of strong technical ownership, resulting in highly reliable products and services at scale
- You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps
- You will perform analytical deep-dives to analyze AI related user problems and opportunities, identify the hypothesis and design & execute experiments with great rigor and efficient data techniques
Requirements
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 5-8+ years experience of leveraging data-driven analysis to influence key business decisions and executives, preferably in a tech company
- 2+ years working with AI/ML related product teams, and having hands-on experiences to work with data scientists, engineers, product managers, user researchers, and designers
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impact
- Ability to influence prioritization and execution of high impact projects effecting customer experience, monetization, and entire organization’s roadmap
- Ability to provide data insights for 0-1 product even when sample size is small, with a track record of driving directly measurable product or business impact.
- Be proficient with SQL, Python and other coding languages frequently applied in the AI/ML production environment, with deep understanding of statistical analysis & experiment design
Preferred Qualifications
- Have worked in startups or on true 0→ 1 products before
- Experiences with SaaS search, ranking, AI research, etc
Compensation
US Zone 1
This role is not available in Zone 1
US Zone 2
$168,300—$227,700 USD
US Zone 3
$149,600—$202,400 USD
Top Skills
What the Team is Saying
What We Do
We're a global community of more than 2,000 bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the flexibility of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you.
Why Work With Us
Our remote work model is a deliberate shift to provide greater flexibility, create a level-playing field, and evolve our culture to focus on people over places. Being a Virtual First company has allowed us to focus on our impact and effectiveness, by making investments in our employees according to what they need to do their best work.
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Dropbox Offices
Remote Workspace
Employees work remotely.
While remote work is the primary experience for our employees, we also prioritize opportunities for quarterly in-person collaboration knowing that connection is vital to a thriving workforce. We focus on how we work, not where we work.
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