Staff Data Scientist

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 Staff 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
• You will demonstrate data science team leadership by driving larger multi-team projects, mentoring fellow team members, and regularly looking to raise the bar on craft.

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 8-10+ years experience of leveraging data-driven analysis to influence key business decisions and executives, preferably in a tech company
• 4+ 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