Senior Data Scientist

Overview

Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we're looking for a Senior Data Scientist. If you are excited by technology that can handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data points in real-time with low latency, IAS is the place for you.

What you'll get to do

• Drive innovative research within the data science fraud team, improve the accuracy and increase the scope of our IVT (invalid traffic) detection capabilities in web, mobile, CTV, gaming, social media, etc.
• Collaborate with the Threat Lab, understand evolving fraud schemes, and invent quantitative solutions to identify and stop them.
• Develop automated IVT detection systems based on science, data, and ML applications. Communicate the value they add to multiple stakeholders across the organization, socialize the predictive power and business value of data-driven ML.
• Join a team of highly motivated ML researchers and developers, own projects from end-to-end, while collaborating with team members, learning, mentoring, and contributing to the collective impact data science has on the IAS business.
• Collaborate with engineers to integrate fraud solutions within larger engineering workflows.
• Mentor junior data scientists to innovate and build high quality fraud solutions.
• Respond to internal and client-facing incidents as they arise.

You should apply if you have most of this experience

• PhD or masters in a quantitative discipline (e.g., mathematics, statistics, computer science, physics, economics, computational neuroscience).
• 4+ years experience solving analytical problems using quantitative approaches and ML methods in a business environment.
• Practical experience building ML systems, ideally using weak supervision and automated data labeling. End-to-end ownership of your work: from prototyping, debugging, evaluation, optimization, production deployment, to live monitoring.
• Knowledge of cutting edge research in ML applications and deep learning.
• Capable of using SQL to answer key data questions at the drop of a hat.
• Expertise in standard scripting languages used in data science for statistical computation: Python, R.
• Enthusiasm for telling stories with data, deep understanding of how data works and flows through systems to produce business outcomes.
• An innate curiosity about data problems, strongly held commitment to getting to the bottom of things.
• A love of science, the scientific method, and faith in your fellow practitioners in the scientific trade.

About Integral Ad Science

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers data to drive results for advertisers, publishers, and media platforms. IAS's software provides data to ensure ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit

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.

California Applicant Pre-Collection Notice

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including categories of PI such as identifiers, personal records, and inferences drawn from PI. We collect your PI for our purposes, including performing services and operations related to potential employment or engagement. For additional details or if you have questions, contact

To learn more about us, please visit

#J-18808-Ljbffr

---