Data Scientist Assistant
il y a 4 semaines
At Teads, we are looking for a talented Data Scientist Assistant to join our engineering team. As a key member of our team, you will be actively working on our user graph, which enables us to probabilistically link the various devices of our users and our broadcast channels (CTV, Web), as well as on deep learning models enabling us to classify them or obtain the best vector representation of their digital usage.
Our team is organized in agile and autonomous feature teams and share technical knowledge within several communities of practice. We promote diversity and are committed to creating an inclusive environment for all employees. Our organization gives the possibility to work remotely part of the time and more flexibility is open to discussion.
As a Data Scientist Assistant, you will learn to program in Python (pandas, keras, tensorflow, seaborn, etc.), master GCP big data tools such as Bigquery and Looker, use the production tools in the AWS stack, use Scala, and respect good practice in data engineering and machine learning engineering.
We value team spirit, pragmatism, listening, and we encourage initiatives. We promote end-to-end development: "You build it, you run it, you monitor it". We share knowledge and support with each other beyond any organizational boundary.
We are working together to create great engineering, but we are also supportive to promote a great work-life balance. We care about you:
- Security & Savings: Attractive package providing financial peace of mind, including competitive compensation, profit-sharing, daily meal vouchers (Swile), family health insurance (Alan), and a personalized relocation package (if needed).
- Career Development: Continuous investment in our employees' skills: in-house and external training, tech conference opportunities, internal mobility (individual contributor or management career ladder).
- Life Balance: A well-balanced work-life for our employees is one of our top priorities: 35+ days off per year, hybrid work (2-3 days remote work per week, more is open to discussion), fully covered parental leave, and reserved daycare places.
- Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives (women speaking groups, dedicated school partnerships), dedicated charitable time and sustainability actions (Eco Tree, subsidy for eco-mobility).
Discover more about our culture and benefits on our Engineering website.
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