Principal Data Scientist (AI/ML, AdTech)

TL;DR

Principal Data Scientist (AI/ML, AdTech): Building and optimizing AI-powered ranking and bidding systems for digital advertising with an accent on API design, database performance, and scalability. Focus on designing and deploying advanced models to redefine auction dynamics, maximize advertiser ROI, and elevate advertising intelligence capabilities at scale.

Location: Hybrid work model, requiring 2 days a week on campus in Berlin, Germany.

Company

hirify.global is the world’s pioneering local delivery platform, headquartered in Berlin, Germany, operating in over 70+ countries.

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 to redefine auction dynamics and maximise advertiser ROI.
• Elevate advertising intelligence capabilities, setting new industry benchmarks.
• Invent and adapt novel ML architectures to solve complex problems at massive scale.
• Shape the future of data-driven decision-making.

Requirements

• Expert practitioner and thought leader in ranking models, personalization, relevance, and multi-objective optimisation under uncertainty.
• Deep operational knowledge of AI frameworks (TensorFlow, PyTorch) for designing and deploying mission-critical, ultra-low-latency real-time ranking systems.
• Comprehensive and deep-seated understanding of ad auctions, ad exchange platforms, and programmatic advertising.
• Track record of using probabilistic modelling, causal inference, and statistical rigour.
• Advanced proficiency in Python, SQL, and designing robust, end-to-end data workflows for large-scale behavioral data and feature engineering.
• Demonstrated success in 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 engineers/scientists and building alignment across diverse organizations.
• Must be able to work in a hybrid model with 2 days a week in the Berlin campus.

Nice to have

• Expertise in auction design and pricing models including dynamic and behavioral pricing.
• Contributions to reinforcement learning or causal inference applied to business problems.
• Knowledge of A/B testing methodologies and experimentation design for feature rollouts.
• Familiarity with large-scale recommendation systems or forecasting models for demand prediction.

Culture & Benefits

• Hybrid working model with 2 days a week on campus in Berlin.
• 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 platform.
• Health Checkups, Meditation, Gym & Bicycle Subsidy.
• Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
• Digital Meal Vouchers, Food Vouchers, Corporate Discounts.