Job description

Role Description

How many times 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 leaders defining the mission, hiring, guiding your teams and influencing the direction of Dropbox? As a Senior Director of Data Science for this new division, you will exactly get to do that. You will be able to drive the future direction of this new initiative and answer key questions about revenue/user growth. You will build and lead a team of top-tier data scientists and be an inherent part of product org to create and scale this new business.

As a ground floor opportunity for this startup team, we need this lead to build a top-tier data-informed culture with a lot of focus on impact and execution.

Repsonsibilities

You will lead the team in balancing urgency vs. the incredibly high quality bar expected by both our customers and the broader Dropbox organization, through clear and repeatable data informed approach
You will partner closely with leadership across all functions - Product, Engineering, Design, Research, GTM, Customer success and Sales
You will have the seat at the table for every key decision for this new initiative
You will create a culture of strong technical ownership, resulting in highly reliable products and services at scale
You will build and manage a team of high performing data scientists to deliver best in class analytics
You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps

Qualifications

Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
10+ years experience of leveraging data-driven analysis to influence key business decisions, preferably in a tech company
5+ years directly managing data scientists, quantitative researchers, or product analysts
Demonstrated experience building and scaling a data science function in an early stage, high growth environment
Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impact
Familiarity with advanced analytics methodologies and Experience with ML and predictive modeling
Experience with increasing depth of product acquisition, engagement and monetization in a SaaS business

Preferred Qualifications

Ability to analyze large datasets and use data to inform product or business decision making, with a track record of driving directly measurable product or business impact
Good Executive presence with excellent verbal and written communication skills
Previous experience building data driven programs and teams - experience with SQL and large datasets, deep understanding of statistical analysis & experiment design