Director of Applied Research / Data Science

San Francisco OR Remote US/Canada

Full Time
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Posted 3 weeks ago

At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors. Our community includes over 1.4M subscribers in nearly every country worldwide.
Our data science team is digesting terabytes of data, making sense of it, and delivering key insights that drive both business and product decisions. The team works on every aspect of the business so you’ll touch everything we do and have an impact on all aspects of Scribd. Reporting to the Head of Data Science, you will assume leadership of a team that currently includes two Data Scientists. We anticipate that this team will grow to as many as seven over the next year or so. Initially, the role will include individual contributor work, but that should diminish as the team expands.
At present one Data Scientist focuses on machine learning and the other on payments and fraud. However, we are open to your suggestions for organizing the team and work moving forward. The team is involved in a lot of activities, including product science, A/B test design, exploratory analyses, modeling and more.  You'll oversee the team, providing technical support, managing performance, training/coaching, assigning work, monitoring progress, and more. 
The team is expected to:* Provide decision support to the whole company by doing analysis, building predictive models, creating reports - doing whatever it takes - to support data needs across the organization.* Becoming domain experts in all aspects of the Scribd business, product, and data model; use this expertise to provide advice to all teams in the usage of our data.* Solve ambiguous problems.* Collaborate with stakeholders to determine the highest-impact opportunities.

You have:

  • A bachelor's degree or higher in math, stats, CS, or physics, or equivalent experience.8 to 10 years of progressive experience, including a couple of years at the management level.
  • Solid professional experience in data science, and familiarity with at one or more of the following; NLP, recommendation systems, neural networks, predictive modeling.
  • Experience writing in SQL. Experience with a scripting language like Python, R, etc.
  • Knowledge of A/B testing.
  • Experience designing metrics such as success metrics.
  • Willingness to roll up your sleeves to achieve goals.
  • The ability to adapt as our company grows and evolves.

Ideally you have:

  • Different companies/business models.
  • Experimental design or deep learning.
  • Building a small team.
  • Working remotely from your supervisor.
At Scribd, we value people above everything else. We're building a diverse workplace and an inclusive culture to give more people the chance to change the way the world reads. Scribd is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We encourage people of all backgrounds to apply because we believe that a diverse set of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
Job tags: Deep Learning Machine Learning NLP Python R Research SQL
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