Lead Data Scientist, Revenue – Ads, Revenue

Responsibilities

We are representing a fast-growing European marketplace client in their search for a Lead Data Scientist to join their Revenue and Ads team in Berlin. In this role, you will be instrumental in building and optimizing their advertising ecosystem from the ground up.

Your core responsibilities will include:

• Owning the data science approach for core advertising optimization problems including ranking, targeting, pacing, budget allocation, candidate selection, and auction or bidding logic
• Developing practical approaches that improve advertiser performance, marketplace relevance, and business outcomes
• Designing, developing, and iterating models and algorithmic approaches for ad delivery and optimization, including prediction, scoring, calibration, exploration/exploitation methods, and constrained optimization
• Leading experimentation and performance improvement frameworks, defining hypotheses and evaluation frameworks to improve system behavior
• Guiding objective function and constraint design to balance advertiser value, revenue, user experience, and operational constraints
• Taking ownership of ad performance diagnostics, conducting deep-dive analysis of system behavior and identifying areas for improvement
• Contributing to production implementation in partnership with engineering and decision science teams
• Collaborating with product managers, decision scientists, analytics engineers, and developers to shape advertiser-facing features and internal optimization capabilities
• Partnering with data engineering and backend teams to ensure training data, feedback loops, and datasets support robust optimization work
• Communicating system behavior, performance drivers, and optimization impacts to non-technical stakeholders

What We're Looking For

Our client seeks a candidate who combines strong applied machine learning and statistical skills with hands-on ad tech experience and the ability to thrive in ambiguous, evolving domains.

Required qualifications:

• Deep expertise in Python and SQL; experience with BigQuery is advantageous
• Proven experience with ad tech systems and optimization problems such as ads ranking, auction systems, pacing and budget optimization, marketplace or recommendation systems, relevance modeling, or other real-time optimization environments
• Strong product and business judgment with the ability to translate business goals into tractable optimization problems
• Comfort working on production systems in collaboration with engineering teams
• Structured, meticulous approach when testing different methods toward set goals
• Excellent collaboration skills with awareness of how your work impacts team members
• Ability to explain machine learning methods clearly to non-technical audiences
• Solid written and spoken English

The ideal candidate will have experience balancing multiple objectives in real-time optimization environments and be ready to take on hands-on work while shaping data science roadmaps in a greenfield context.

How We Work With You

Get A Job.ai partners with leading technology companies across Europe to connect exceptional talent with transformative opportunities. When you apply through our platform at getajob.ai, our talent team will review your profile and conduct an initial screening to understand your experience and career goals.

If we determine you're a strong match, we will submit your candidacy to our client for consideration. Throughout the process, we serve as your advocate and primary point of contact. Please do not contact the client directly, as all communication should flow through Get A Job.ai to ensure the best experience for all parties.

Pay

This is a full-time position based in Berlin with a hybrid work model (2 recommended office days per week). Our client offers comprehensive benefits including share options, 30 days paid annual leave, learning budget, workation policy, and extensive health and wellness perks.

Compensation details will be discussed during the screening process based on your experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We encourage applications from candidates of all backgrounds, identities, and life experiences. If this role excites you but you don't meet every qualification listed, we still encourage you to apply.