Senior Director, Data Science

Company Name: Integral Ad Science
Location: New York
Date Posted: 28th Jul, 2016
  • Work on challenging fundamental data science problems in online advertising
  • Measurably impact business KPIs by delivering high quality scalable solutions
  • Discover actionable insights from data and present them through rich visualizations
  • Establish partnerships with product and engineering teams and work closely with other teams
  • Be responsible for design, implementation, deployment and support of key components of data science driven products
  • Recruit and interview top talent, as well as motivate, inspire, mentor and scale a team
  • Know and evangelize best practices in working with people, software and data
  • Prepare white papers, scientific publications and conference presentations
  • Propose and develop solutions independently and in collaboration with others
  • Assemble data sets from multi-terabyte structured and unstructured data repositories
  • Work on formulation, implementation, testing and validation of predictive models
  • Write high quality efficient code while implementing your own ideas
  • Drive the collection of new data and the refinement of existing data sources
  • PhD in a quantitative discipline (e.g., statistics, computer science, physics), or MS with equivalent experience
  • 10+ years of hands-on experience in analysis and modeling of large complex datasets
  • A passion for innovating with data sciences at scale – applying modern algorithms to massive datasets and creating measurable business value
  • Excellent interpersonal and communication skills, with a strong written and verbal presentation
  • Proven ability to take ownership of a project and lead R&D with minimal supervision
  • Track record of successful implementations of quantitative, data-driven products in a business environment
  • Ability to lead by example, foster collaboration, mentor and inspire others
  • Deep understanding and hands-on experience with optimization, data mining, machine learning or natural language processing techniques
  • Excellent understanding of algorithms, scalability and various tradeoffs in a Big Data setting
  • Expert level in R, Matlab or a similar environment; proficiency in SQL
  • Ability to personally put together a system of disjoint components that implements a working solution to the problem
  • Experience programming in at least one compiled language (C/C++ preferred)