Staff Data Scientist
Confirmed live in the last 24 hours
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

N/A

Total Funding

$276.1M

Founded

2009

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

2%

1 year growth

6%

2 year growth

36%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
R
SQL
Data Analysis
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • PhD or masters in a quantitative discipline (e.g., mathematics, statistics, computer science, physics, economics, computational neuroscience)
  • 3-5 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
  • Knowledge of cutting edge research in ML applications and deep learning
  • Capable of using SQL for data analysis
  • Expertise in Python and R for statistical computation
  • Enthusiasm for telling stories with data and deep understanding of data flow in systems
  • Curiosity about data problems and commitment to scientific method
Responsibilities
  • Drive innovative research within the data science team
  • Collaborate with the Core Research and Innovation Teams
  • Develop automated ML systems based on science, data, and ML applications
  • Join a team of highly motivated ML researchers and developers
  • Collaborate with engineers to integrate fraud solutions within larger engineering workflows
  • Respond to internal and client-facing incidents as they arise
Desired Qualifications
  • Experience in multimedia content classification for targeting & avoidance in web, mobile, CTV, gaming, social media
  • Experience in contextual targeting and avoidance needs
  • End-to-end ownership of projects
  • Experience in fraud solutions integration