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Data Scientist
Entertainment & Media Industry Company
New York, NY, United States
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We are seeking a Data Scientist to join our team in NYC!
Company
Company is the leading global media valuation company in the ad tech space. Integral provides buyers and sellers of digital media with data that is actionable in real time, to quantify the quality of every online ad event. We operate at a scale that is matched only by very few internet companies today and that brings with it exciting technical challenges. Company was recognized on Crain's 2013 & 2014 Best Places to Work, as well as on Crain’s Fast 50 in 2014. Forbes named Integral as one of America's Most Promising Companies of 2015 (#15). Integral also ranked #115 on the 2014 Inc. 5000 list.
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.
Responsibilities:
• 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
• 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
Qualifications:
• Advanced degree in a relevant technical field (machine learning, computer science, physics, mathematics, statistics, or related field), or 2+ 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
• Extensive experience solving analytical problems using quantitative approaches based on machine learning methods, including (but not only) text classification and natural language processing.
• 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
Equal Opportunity Employer:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vet
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