28 days old
2017-12-232018-01-22

Senior Data Scientist

New York, New York 10014
  • Job Code
    833
  • Job Type
    Employee
  • Job Status
    Full Time
  • Shift
    1st Shift

Senior Data Scientist

Company

Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions to empower the advertising industry to effectively influence consumers everywhere, on every device. We solve the most pressing problems for brands, agencies, publishers, and technology companies by verifying that every impression has the opportunity to be effective, optimizing towards opportunities to consistently improve results, and analyzing digital’s impact on consumer actions. Built on data science and engineering, IAS is headquartered in New York with global operations in ten countries. Our growth and innovation have been recognized in Inc. 500, Crain’s Fast 50, Forbes America’s Most Promising Companies, and I-COM’s Smart Data Marketing Technology Company. IAS was also named to Crain’s Best Places to Work in NYC for four years running, Great Companies to Work For in NYS for two years running, and AdAge's list of Best Places to Work in the US.

Team

The Data Science team at Integral is a high profile team that is a center of innovation for the company and a major contributor to the company’s core products. The types of challenges we solve have attracted people from industry and academia with diverse backgrounds, ranging from machine learning, physics, biology, neuroscience, and computer science to finance and economics. We’re passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table.

Role

As a member of the Data Science team you will be solving complex problems across a wide range of areas related to brand safety, causality, marketing attribution, ad viewability, online fraud detection, video and contextual classification, all while helping us build and scale the next generation of our data science research and development platform.

  • 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
  • Partner with product and engineering teams and work closely with other teams
  • Propose and develop solutions independently and in collaboration with others
  • Write high-quality efficient code while implementing your own ideas
  • Be responsible for key components of data science-driven products
  • Prepare white papers, scientific publications, and conference presentations
  • Drive the collection of new data and the refinement of existing data sources
  • Assemble data sets from multi-terabyte structured and unstructured data repositories
  • Work on formulation, implementation, testing and validation of predictive models
  • Develop and follow best practices for data analysis, instrumentation, and experimentation

 

Requirements

  • Advanced degree in a relevant technical field (machine learning, computer science, physics, mathematics, statistics, or related field), or 4+ years’ experience in a relevant role
  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • A strong passion for empirical research and for answering difficult questions with data
  • A flexible analytic approach that allows for results at varying levels of precision
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Extensive experience solving analytical problems using quantitative approaches based on machine learning methods, including (but not only) text classification and natural language processing, ideally with experience in multi-class, multi-label, multi-language problems.
  • Fluency with at least one scripting language such as Python
  • Familiarity with relational databases and SQL
  • Familiarity with an analysis tool such as R or Matlab
  • Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Spark, Hive, Pig, HBase, etc.)
  • Experience with at least some of the following machine learning libraries: scikit-learn, H2O, SparkML, TensorFlow, etc
  • Experience with practical data science: source control workflows, deploying machine learning models in production, real-time machine learning
  • Experience with Agile/Scrum project management

"To learn more about us, please visit www.integralads.com or http://bit.ly/glassdoorIAS

 

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.

Categories

  • Data Scientist

Industry

  • Advertising / Marketing

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Integral Ad Science
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