Senior Data Scientist

Company Description

Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. 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.

Team Description

The Dropbox Data Science team transforms data into powerful insights that inform everything we do at Dropbox. Combining applied analytics techniques with deep business insights, we investigate user behavior, product performance, and market trends to uncover new opportunities for growth, optimization, and innovation. Our work is highly collaborative: we work closely with Revenue, Product, and Marketing teams to enable data-driven development and personalized customer solutions. It’s also highly creative, as we experiment to develop tools and dashboards 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. Areas of work include Applied Analytics, Experimentation, Data Engineering, Machine Learning, Business Intelligence, Data Visualization, and Statistical Modeling.

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

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.