Cutting Edge Data Science
The Teads Data Science Summer School is an immersive program, now also available in Paris, providing students and young professionals with the opportunity to enhance their data science and machine learning skills.
Since its creation in 2018, the Data Science Summer School has equipped participants with cutting-edge skills and knowledge. By combining theoretical frameworks with practical applications, this rigorous program gives participants a comprehensive understanding of data science. Teads, a leader in digital innovation, is proud to continue its tradition of excellence in education and industry collaboration through this program.
If you have a passion for data and enjoy coding, this could be the perfect opportunity to advance your career. During the one-week program, you will be guided through the entire lifecycle of real life data science projects and will work with gigabytes of realistic advertising data to solve actual industry problems. For a week you will collaborate with highly talented data scientists and engineers, applying data science techniques to real-world challenges. A great opportunity for gaining practical knowledge and experience, and see how we do it in the industry on a huge scale!
To qualify for the program, you need to have strong coding skills and a foundational understanding of data science and machine learning.
The program is completely FREE, including lunches, coffee, snacks, and all activities. However, full commitment is required for the entire duration of the program.
Who will benefit most from attending the Data Science Summer School?
The Teads Data Science Summer School is ideal for individuals who are eager to learn and have some existing knowledge of machine learning and data science, whether through university courses, online learning, or participation in Kaggle challenges.
The program welcomes final year undergraduate, masters, and PhD students in computer science or related fields, as well as recent graduates and professionals looking to enhance their machine learning and data science skills. While prior experience is beneficial, the summer school caters to all levels, ensuring that both novices and experts can learn and contribute.
Participants should have a basic understanding of machine learning and data science, and be comfortable with coding, as the summer school involves heavily in hands-on projects. Familiarity with TensorFlow and Python is helpful but not required.
What to Expect?
Our team of expert data scientists and engineers will lead you through a week of engaging data science talks, hands-on workshops, and exciting experimentation. You will also have the opportunity to learn from internal and external guest lecturers and connect with fellow data scientists through various social activities.
The curriculum covers essential data science and machine learning topics, with an emphasis on real-life problems Teads solves every day in the programmatic advertising and full-funnel omnichannel data driven solutions.You can expect expert lectures on selected data science topics and hands-on workshops with huge and sparse datasets.
The official language of the summer schools, including all presentations and materials, is English.
Schedule
The schedule is yet to be determined!
Why Learn From Us?
At Teads, we’re building the leading recommendation platform for the Open Web. Our World-Class Data Science Team is daily working with:
- Machine Learning at Scale: Our systems calculate over 1 billion machine learning predictions every second
- Immediate Business Impact: Deployed ML models have a direct and significant impact on our business
- Production-Ready Algorithms: We don’t keep cutting-edge deep learning algorithms on the shelf; we deploy them to make a difference
- Massive Data Processing: We generate and manage petabytes of data daily, using our own data centers, S3, and BigQuery
- Multi-Cloud Environment: Our infrastructure leverages the power of AWS, GCS, and a private cloud
- Optimized Production: Java and Go-lang are our primary production languages; Python is used for offline research
- In-House TensorFlow Expertise: Our highly optimized ML algorithms are developed in-house using TensorFlow
- In-House Distributed AutoML Framework: Our custom AutoML framework empowers effective offline research
- End-to-End Ownership: Our data scientists own the ML-powered features they develop, from initial concept to final product
- Continuous Learning: We foster a culture of learning, both internally (knowledge-sharing initiatives) and externally (conferences, papers, talks)
- Knowledge Sharing: We share our expertise externally through conference talks, meetups, and student mentorship programs
- Global Collaboration: We’re part of a world-class data science and software engineering organization with a global presence
Apply Now!
Don’t miss this opportunity to advance your data science skills. Submit your application by 22.6.2025. Join the ranks of successful alumni who have propelled their careers forward through our program. We welcome participants from diverse backgrounds, fostering a rich learning environment.
Contact Us
We’d love to hear from you! For more information on the Teads Data Science Summer School 2025, you can also contact us at: jobs@teads.com
