Data Scientist, Spaces & Paper

Data Scientist, Spaces & Paper

This job is no longer open

Company Description

Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.

Team Description

Our Admin team works magic behind the scenes to keep Dropbox teams around the world running smoothly. We support leaders across the company and help teams thrive by prioritizing and anticipating needs even before they arise. We shine under pressure and create order from chaos.

Role Description

We're looking for a Senior Data Scientist to act as a lead for the AMP organization. AMP’s mission is to take bold, long-term risks to discover tools that help people make meaningful progress against their priorities. These tools will augment humanity’s important work, using CPU cycles to preserve human cycles. The tools will create(rather than disrupt) states of focus and flow, unlocking new levels of cognitive productivity.

This person will work across the organization, driving key product insights, owning product analytics, and helping solve important ML problems in performing cognitive and work tasks, search relevance, and lifecycle notifications for both established and 0→1 products. They will help the organization quickly experiment and learn from the work we are doing.

They will deep dive on unique customer trends through data analytics and and ideal candidate should have a robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics, and business operations for a SaaS company.

Responsibility

  • Develop a deep understanding of the product; define the key metrics that will guide the team in the early phases of identifying product market fit.
  • Develop a 360 degree perspective on the data needs for the products from logging, to dashboarding, to creating recommendations to drive change in production.
  • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
  • Create propensity models to enable targeting of users within the existing Dropbox user base.
  • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
  • Digest literature and assess state-of-art ML capabilities; and evaluate application of models towards use cases (e.g. NLP)
  • Identify key trends and build executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
  • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 
  • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
  • Understand what matters most and prioritize ruthlessly

Requirements

  • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
  • 4+ years experience using analytics/data science to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
  • Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
  • Significant experience with SQL and large unstructured datasets such as Hadoop
  • Fluency in SQL and statistical programming (e.g., R or python)
  • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
  • Good understanding of basic ML techniques just as regressions, tree based models, clustering techniques and SVMs
  • Strong verbal and written communication skills

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. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).

This job is no longer open
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