T

Teads

Programmatic ads with data-driven creative optimization

Senior Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNetanya, IsraelNo salary listedIn-person

About the Job

Requirements

  • Strong communication skills, including the ability to teach concepts and communicate complex topics clearly to a wide audience.
  • Strong problem-solving skills and the ability to generalize from specific problems to broader product opportunities.
  • Experience in statistics, including statistical analysis and regression analysis, and artificial intelligence, including data mining and machine learning.
  • An appetite for data science applied to high-volume, low-latency topics.
  • Ability to read scientific articles, analyze them critically, and implement relevant approaches.
  • Good programming abilities.
  • Attention to application architecture, performance, testing, maintainability, and overall quality.
  • At least 5 years of hands-on experience coding machine-learning-based solutions in high-scale systems.
  • Relevant industry experience or publications in ad tech and recommender systems.
  • An MSc or PhD in computer science or mathematics.
  • Industry experience building engineering systems at scale.
  • Experience with large-scale distributed systems and service-oriented architecture.
  • Experience with some or all of Go, Python, Java, AWS, and Jupyter notebooks.
  • Knowledge of data engineering.
  • Ability to transform raw data into actionable business insights.

Responsibilities

  • Improve existing algorithms and tools to explore and analyze data and provide accurate feedback on Teads activities.
  • Develop algorithms and approaches to provide accurate predictions, drive new products, and provide business insights.
  • Implement algorithms and models end to end.
  • Collaborate with teams to develop services from design through production.
  • Write, run, and automate unit, functional, load, and other tests.
  • Keep current with machine-learning technologies and select appropriate algorithms for the context.
  • Improve ad relevance, quality, and efficiency across Teads' global publisher network.

About the Company

Teads

Programmatic ads with data-driven creative optimization

Teads provides digital advertising solutions that use data and creative optimization to engage audiences across premium digital media. Its products, including Teads Ad Manager and Teads Studio, support programmatic buying and creative optimization for ads tailored to mobile and vertical screens. Revenue comes from ad placements, data solutions, and platform usage fees. The company distinguishes itself by focusing on advertising across premium publishers, optimizing creatives for mobile formats, and promoting responsible advertising along with training modules to help clients navigate the digital landscape. Its goal is to help advertisers, publishers, and agencies reach audiences effectively while maintaining responsible advertising practices.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$118.2M
Headquarters
New York City, New York
Founded
2005

Recently Posted Jobs

Explore more opportunities at Teads

See more jobs