Experienced Data Scientist - AdTech

Voodoo; Paris; Hybride; EUR 50 000 - 80 000; Plein temps

Résumé du poste

Une entreprise innovante dans le secteur des jeux vidéo recherche un Data Scientist/ML Engineer à Paris. Vous serez chargé d'améliorer les modèles d'estimation et de travailler sur des systèmes d'apprentissage machine afin d'optimiser les performances publicitaires. Le poste offre une rémunération compétitive, des avantages complets et la possibilité de travailler dans un environnement dynamique et collaboratif.

Prestations

Salaire compétitif

Pack de relocalisation complet

Soins de santé premium

Chèques déjeuner Swile

Accès à Gymlib

Activités de bien-être

Politique de vacances illimitées

Jours de télétravail

Garderie d'enfants

Qualifications

• 3-5 ans d'expérience dans la construction de systèmes d'apprentissage machine.
• Expérience antérieure dans des environnements de production dynamiques.
• Compétences en communication en anglais requises.

Responsabilités

• Améliorer des modèles existants et proposer de nouvelles approches.
• Construire et déployer des systèmes d'apprentissage machine évolutifs.
• Collaborer avec des chefs de produits et d'autres ingénieurs.

Connaissances

Apprentissage Machine

Analyse de Données

Communication

Travail en Équipe

Outils

Python

SQL

Tableau

AWS

Description du poste

About Voodoo

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.

Team

Voodoo Ad-Network is an autonomous product of around 30 people that carries the ambitious mission of providing ad network services. One goal is to leverage Voodoo’s first-party data to improve Voodoo’s monetisation. Moreover, the product is growing through new ventures like opening up to external inventory, reaching the external-advertisers market and social-network monetisation through BeReal’s recent acquisition. Thanks to promising results, our ambition is now to scale up the team to support growth.

The product is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists.

The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product’s financial performance. It’s composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers who iterate together on finding and building the next performing iteration.

This position is hybrid and requires 2-3 days per week in the office based in Paris.

Our Stack

• Python ⧫ Pandas ⧫ Scikit learn ⧫ LightGBM ⧫ Pytorch ⧫ Spark ⧫ SQL ⧫ Airflow ⧫ DBT ⧫ Athena ⧫ Amazon Web Services ⧫ Tableau

Role

• Improve existing models or propose new approaches to our current install rate and LTV estimation models

• Build and deploy scalable ML systems.

• Swiftly tackle incidents and strive to make the system robust

• Work closely with product managers and other engineers to ensure that incremental ML performance translates into significant business impact

• Discuss state-of-the-art ML topics with other data scientists, share ideas and challenge existing systems

• Gain an understanding of and engage in developing a variety of essential components to build an advertising network, including A/B testing systems, budget management, creative selection, performance monitoring, campaign optimization, app profiling, and user profiling

• Regularly examine the performance of the ad network to detect anomalies or propose new data-driven ideas.

Profile

• 3-5 years of experience building machine learning systems

• Prior experience working in dynamic, production-focused environments

• You’re excited by the latest deep learning advancements but also familiar with the ins and outs of gradient boosting

• You like to deep-dive into complex topics to squeeze the last bit of performance

• You enjoy working in a team, learning new things, sharing knowledge

• Excellent communication in English is mandatory, French is a nice-to-have

• Strong achievements on Kaggle will be valued

Benefits

• Competitive salary

• Comprehensive relocation package (including visa support)

• Premium healthcare (SideCare) for you and your family 100% borne by Voodoo

• Swile Lunch voucher

• Gymlib (100% borne by Voodoo)

• Wellness activities in our Paris office

• Unlimited vacation policy

• Remote days

• Child daycare facilities (Les Petits Chaperons rouges)