Senior Data Scientist (AdTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (AdTech): Developing and optimizing machine learning models for user behavior prediction and ad distribution with an accent on LTV, conversion, and deep learning at scale. Focus on owning the end-to-end ML lifecycle, implementing production-grade deep learning models, and maximizing advertiser ROAS.
Location: Hamburg, Germany (Hybrid: 3 core office days). Relocation support and visa assistance provided.
Company
is an AI-powered mobile advertising company specializing in rewarded ad experiences and the Playtime channel for app publishers.
What you will do
- Translate complex product requirements into actionable machine learning solutions.
- Build robust models to predict user behavior, including LTV and conversion, to optimize retention and advertiser ROAS.
- Develop and deploy state-of-the-art deep learning algorithms for high-traffic production environments (>1M predictions per day).
- Own the end-to-end ML lifecycle: from extracting insights from terabytes of data to A/B testing and production.
- Collaborate with Backend, Infrastructure, and Analytics teams to ensure seamless model integration and system stability.
- Present findings and communicate the impact of ML solutions on product KPIs to business stakeholders.
Requirements
- 5+ years of professional experience in Data Science with a history of successfully deployed models.
- Strong proficiency in Python and core DS libraries: PyTorch/TensorFlow, Pandas/Polars, Numpy, Scikit-learn, and Gradient Boosting (LightGBM/CatBoost/XGBoost).
- Experience applying deep learning models in production environments with massive traffic.
- Advanced SQL skills and experience with distributed query engines such as AWS Athena, Trino, or Spark.
- Ability to explain complex mathematical foundations in simple, non-technical terms.
- Must be open to relocating to Hamburg, Germany.
Nice to have
- Experience in the AdTech industry.
- Technical knowledge of Airflow, model hosting, and deployment infrastructure.
Culture & Benefits
- Hybrid work model with 3 core office days and flexible working hours.
- Comprehensive relocation support, including visa assistance and a relocation bonus.
- 30 vacation days and 3 weeks of remote work per year.
- Professional growth through regular feedback and a dedicated development program.
- In-house gym with fitness classes, mental health support (EAP), and a central office with snacks and drinks.
- Active community with regular team events, company gatherings, and hackathons.
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