TL;DR

Principal Data Scientist (AdTech): Lead development of advanced AI-powered ranking and bidding models for digital advertising to maximize advertiser ROI and user experience with an accent on large-scale machine learning systems and auction dynamics. Focus on designing, deploying, and innovating state-of-the-art ranking models, personalization, and multi-objective optimization under uncertainty.

Location: Hybrid in Berlin, Germany (2 days onsite per week)

Company

%hirify_global% is a leading global local delivery platform operating in over 70 countries, headquartered in Berlin, Germany, listed on the Frankfurt Stock Exchange and part of the MDAX index.

What you will do

Drive innovation in AI-powered ranking and bidding systems for digital advertising.
Lead creation of advanced models to redefine auction dynamics and maximize advertiser ROI.
Elevate advertising intelligence capabilities and set new industry benchmarks.
Design and deploy large-scale AI systems delivering multi-million-euro business outcomes.
Define and drive technical strategy for Data Science and ML across multiple teams.
Mentor senior engineers and build alignment across engineering, product, and data organizations.

Requirements

Location: Hybrid work with presence in Berlin campus 2 days a week
English: B2 level or higher
Expertise in ranking models, personalization, and multi-objective optimization under uncertainty.
Strong knowledge of AI frameworks such as TensorFlow and PyTorch.
Deep understanding of ad auctions, programmatic advertising, and economic modeling.
Advanced proficiency in Python, SQL, and data workflow design.

Nice to have

Expertise in auction design and dynamic pricing models.
Experience with reinforcement learning or causal inference applied to business problems.
Knowledge of A/B testing methodologies and large-scale recommendation or forecasting systems.

Culture & Benefits

Hybrid working model with office presence in Berlin 2 days per week.
27 days holiday plus extra days after 2nd and 3rd year.
1,000 € educational budget, language courses, parental support, and Udemy access.
Health checkups, meditation, gym and bicycle subsidies.
Employee share purchase plan, sabbatical bank, public transport discounts, insurance, and pension plan.
Digital meal vouchers, food discounts, and corporate discounts.