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Senior Data Scientist
Integral Ad Science
Seattle, WA, United States
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Senior Data Scientist-Fraud
We're looking for a Senior Data Scientist to join our Fraud Detection lab in Seattle.
Team:
The Data Science team at Integral 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, including machine learning, physics, biology, neuroscience, computer science, 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.
Position Summary:
Our fraud team solves problems of cybercrime, fighting hackers and other bad actors on the Internet. The scope of the problem requires our team to embrace creativity and innovation. Our data scientists have the freedom to fully control their solutions from conception to deployment: they perform the research, work with engineers to design and collect new signals, build models based on those signals, and integrate these models into production-ready pipelines. Our office is located in downtown Seattle on the 42nd floor, with a 180-degree view of the City, Puget Sound, Mountains and the lakes. Fraud team members have an opportunity to travel to NYC headquarters several times per year.
Responsibilities:
Design algorithms to identify fraudulent activity of all kinds
Produce evaluations of the quality of detection algorithms (fraud detection is often an unsupervised problem)
Develop working prototypes of detection algorithms that can be quickly pushed into production
Prepare manuscripts for publication
Required Qualifications:
• Advanced degree in machine learning or related field, or equivalent experience
• Experience applying machine learning techniques to real-world problems
• Comfort analyzing large, complex, high-dimensional datasets
• Ability to quickly assess a problem both qualitatively and quantitatively
• Strong passion for empirical research and answering hard questions with data
• Ability to present results and describe techniques in both technical and non-technical contexts
• Strong SQL skills
• Fluency in at least one scripting language, such as Python or Perl
• 3 - 6 years of professional experience
Preferred Qualifications:
• Ph.D. in machine learning or related field
• Experience with Hadoop, HDFS, Pig, Hive, Spark, Impala
• Significant experience using a statistical computing package such as Python/Pandas/Scikitlearn, R, or MATLAB
About Integral Ad Science
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 three years running, Great Companies to Work For in NYS, and AdAge's list of Best Places to Work in the US.
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.