Data Science Summer School Paris

TL;DR

Data Science Summer School Paris (AdTech): Intensive one-week hands-on program advancing data science and machine learning skills using gigabytes of real advertising data with an accent on practical application of advanced techniques to solve industry challenges. Focus on navigating the complete lifecycle of data science projects, experimentation with large sparse datasets, and learning production-ready ML algorithms.

Paris (onsite, full commitment required)

Company

Leading omnichannel advertising platform leveraging predictive AI, partnered with 10,000+ publishers and 20,000 advertisers globally, headquartered in New York with 1,700 people in 30+ countries.

What you will do

• Work with data scientists and engineers on real-world data science projects using realistic advertising data.
• Attend expert lectures on data science and ML topics relevant to programmatic advertising.
• Participate in hands-on workshops with large and sparse datasets.
• Experiment with machine learning at scale, including TensorFlow and custom AutoML frameworks.
• Connect with guest lecturers and fellow data scientists through social activities.

Requirements

• English: official language for all presentations and materials
• Strong coding skills and foundational knowledge of data science and machine learning.
• Background from university studies, online courses, or Kaggle in CS or related fields.
• Final-year undergrad, master's, PhD students, recent graduates, or young professionals.
• Full commitment to the entire one-week program (29.6.2026 - 3.7.2026).

Nice to have

• Experience with Python and TensorFlow.

Culture & Benefits

• Free program including all activities, lunches, coffee, and snacks.
• Collaborative, dynamic, diverse, global culture focused on innovation and continuous learning.
• Employee Resource Groups for environmental, women empowerment, DEI initiatives.
• Knowledge sharing through conferences, meetups, and mentorship.

Hiring process

• Registration: 20.4.2026 - 14.6.2026.
• Selection notification: 19.6.2026.