a tech company changing the way the world reads2. a membership that gives users access to the world’s largest online library of books, audiobooks, sheet music, news, and magazinesWe value trying new things, craftsmanship, being an open book, and the people that make our team great. Join us and build something meaningful. About the Data Team Our team is small but mighty, 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 impact on all aspects of Scribd. If you look at problems from both a business and technical perspective, we’d love to talk to you!
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.
Become a domain expert 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
3-5+ years of professional experience in data science
Bachelor’s degree or higher in math, stats, CS, physics or equivalent experience
Familiarity with one of the following: NLP, recommendation systems, neural networks, predictive modeling
Experience w/ a scripting language like Python, R, etc
Comfortable w/ SQL
Bonus points for experience w/ experimental design or deep learning
Level of experience (years):
Mid Career (2+ years of experience)
How to apply:
Please mention NLP People as a source when applying
Scribd is a digital library, featuring e-book subscription services on iPhone, iPad, Kindle Fire and Nook Tablet.