Staff Data Scientist
Posted on 10/27/2023
Integral Ad Science

1,001-5,000 employees

Media measurement platform ensuring ad visibility and fraud prevention
Company Overview
Integral Ad Science (IAS) is a leader in the media measurement and optimization industry, providing actionable data that drives superior results in digital advertising. The company's platform enhances visibility across rapidly evolving channels such as Connected TV (CTV), gaming, and audio, ensuring ad safety and fraud prevention. IAS differentiates itself by offering real-time, granular data for campaign optimization, enabling clients to achieve their advertising goals more effectively than with competitors.
Data & Analytics

Company Stage


Total Funding





New York, New York

Growth & Insights

6 month growth


1 year growth


2 year growth

New York, NY, USA
Experience Level
Desired Skills
Data Science
Data & Analytics
  • PhD or masters in a quantitative discipline (e.g., mathematics, statistics, computer science, physics, economics, computational neuroscience)
  • 5+ 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
  • Drive innovative research within the data science team, improve the accuracy and increase the scope of our multimedia content classification for targeting & avoidance in web, mobile, CTV, gaming, social media etc
  • Collaborate with the Core Research and Innovation Teams, understand the nature of evolving trends and invent creative, quantitative solutions to address contextual targeting and avoidance needs
  • Develop automated ML 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, contributing to the collective impact data science has on the IAS business
  • Collaborate with engineers to integrate fraud solutions within larger engineering workflows
  • Respond to internal and client-facing incidents as they arise