TL;DR

Staff Data Scientist (AI/ML, AdTech): Driving transformative innovation in AI-powered ranking and bidding systems for digital advertising with an accent on designing and deploying advanced models. Focus on redefining auction dynamics, maximizing advertiser ROI, and elevating advertising intelligence capabilities at scale.

Location: Hybrid working model with 2 days a week required at our Berlin, Germany campus.

Company

%hirify_global% is a pioneering global local delivery platform, a large tech company headquartered in Berlin, Germany, operating in over 70+ countries worldwide.

What you will do

Drive transformative innovation in AI-powered ranking and bidding systems for digital advertising.
Lead the creation of advanced models and strategies that redefine auction dynamics and maximise advertiser ROI.
Elevate advertising intelligence capabilities, setting new industry benchmarks.
Shape the future of data-driven decision-making at scale.

Requirements

World-Class AI and ML Expertise in ranking models, personalisation, relevance, and multi-objective optimisation under uncertainty.
Expertise in bidding algorithms, reinforcement learning, and adapting novel ML architectures to solve problems at massive scale.
Deep operational knowledge of AI frameworks (e.g., TensorFlow, PyTorch) for mission-critical, ultra-low-latency real-time decision systems.
Comprehensive understanding of ad auctions, ad exchange platforms, and macro-economic dynamics within the programmatic advertising space.
Advanced proficiency in Python, SQL, and designing robust, end-to-end data workflows for large-scale behavioral data.
Demonstrated track record of successfully designing, building, and deploying multiple generations of large-scale AI systems with measurable business outcomes.
Experience defining and driving organizational-wide technical strategy for Data Science and ML, influencing roadmaps of multiple Engineering and Product teams.
History of mentoring Staff and Senior Staff engineers/scientists.

Nice to have

Expertise in econometrics or game theory as applied to advanced auction and pricing strategies.
Major Contributions to open-source AI tools or publications in top-tier machine learning conferences.
Deep familiarity with Transformer-based architectures or Graph Neural Networks for modeling complex user-item and market interactions.

Culture & Benefits

Hybrid working model with 2 days a week required at the Berlin campus.
27 days holiday with an extra day on 2nd and 3rd year of service.
€1,000 Educational Budget, Language Courses, Parental Support, and access to Udemy Business.
Health Checkups, Meditation, Gym & Bicycle Subsidy.
Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount.
Digital Meal Vouchers, Food Vouchers, Corporate Discounts.