About adjoe

adjoe builds the technologies behind mobile app growth and monetisation. With our core product, Playtime Arcade, we’ve become the global leader in rewarded advertising – an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps.

The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.

Architecting Intelligence to Optimise 200M+ Daily Decisions

As the intelligence core of our engineering organisation, our Data Science team doesn’t just deploy models; we engineer the fundamental decision engine that powers our platform.

At a scale of 770 million users and more than 100,000 predictions per second, we’re solving a multi-objective optimisation problem that balances user incentives, advertiser ROI and long-term platform health in real time.

Our architecture is built on a 1PB+ behavioural data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We’re not just optimising clicks; we’re dynamically calculating optimal reward structures to sustain a global value exchange.

Engineered for performance, our technology stack leverages PyTorch for model training and NVIDIA Triton to achieve sub-100ms inference. We own the full machine learning lifecycle, from high-level research and feature engineering to deployment and A/B experimentation.

Here, you’ll find the autonomy, data depth and massive scale required to solve some of the most complex optimisation challenges in the adtech ecosystem.

Our data infrastructure operates at real scale:

• 2TB: Data ingested in real time every day.
• 100+: Airflow jobs and data pipelines.
• 100ms: p99 latency for ML models.
• 100,000+: Predictions handled per second.

What You Will Do

• Machine Learning Model Analysis: Analyse and evaluate the performance of our machine learning models using user-level and aggregated data. Identify inefficiencies and failure patterns, and turn your findings into actionable recommendations for our Data Science teams.
• Performance Metrics & Business Impact: Define and improve metrics for measuring ML model performance and business impact, working closely with Data Scientists and Product Managers to ensure we optimise for the right outcomes.
• Experimentation & A/B Testing: Design, prepare and analyse A/B tests and other experiments to measure the impact of new models, features and algorithmic changes. Assess statistical significance, experiment quality and practical business impact.
• Strategic Analytical Partnership: Act as a strategic analytical partner to Product, Data Science and Business leads. Proactively translate ambiguous business challenges into analytical roadmaps and turn complex ML insights into clear recommendations that shape product strategy.
• Data-Driven Decision-Making: Challenge product and technical decisions with data, bringing an independent analytical perspective to model development, experimentation and product strategy.
• End-to-End Project Ownership: Drive analytical projects from initial scoping and hypothesis generation to stakeholder alignment and post-decision impact. Establish reusable frameworks and best practices that raise the bar for how we use data across teams.
• Mentorship & Knowledge Sharing: Mentor and guide other analysts on the team, fostering a culture of high analytical standards, strong business intuition and effective communication.

Who You Are

• You have a degree in Mathematics, Statistics, Physics, Computer Science, Economics, Analytics or a similar quantitative field.
• You have 5+ years of relevant experience in Data Analytics, Product Analytics, Experimentation or Data Science, with a proven track record of delivering measurable business impact and working closely with senior cross-functional stakeholders. Experience in AdTech, mobile apps or ML-driven products is a strong plus.
• You’re proficient in SQL and comfortable working with large datasets.
• You have strong Python skills and are comfortable using them for data analysis and statistical modelling.
• You have a solid understanding of statistics and experimentation, including hypothesis testing, confidence intervals, statistical significance and A/B test analysis.
• You understand machine learning concepts and model evaluation and are comfortable working with Data Scientists. You don’t necessarily need to build ML models yourself, but you should understand how to assess their performance and limitations.
• You have excellent data visualisation skills and experience building dashboards using tools such as QuickSight, Power BI, Tableau, Streamlit or similar platforms.
• You can articulate complex algorithmic and behavioural insights clearly to non-technical stakeholders, align differing viewpoints and confidently present recommendations to leadership.
• You thrive in ambiguous environments and have a high degree of ownership. You proactively identify high-value opportunities instead of waiting for tasks to be assigned, and you take pride in seeing initiatives through to real-world outcomes.

Fuel for the Journey: Benefits to Support Your Ambitions

• Invest in Your Future: Regular feedback and our development programme support your growth, helping you expand your skill set and achieve your career goals.
• Easy Arrival at adjoe: From signing your contract to settling into Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition, from learning German to providing a relocation bonus that helps you settle in and make Hamburg feel like home.
• Live Your Best Life, at Work and Beyond: We work in a hybrid setup with three core office days per week and flexible working hours. Enjoy:
  • 30 vacation days.
  • Three weeks of remote work per year.
  • Free access to our in-house gym and a wide variety of fitness classes.
  • Mental health support through our Employee Assistance Program (EAP).
• Thrive Where You Work: Enjoy views of Alster Lake from our centrally located office, featuring top-notch equipment, fun open spaces and a large variety of snacks and drinks.
• Join the Community: Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.

Ready to Join adjoe?

Skip writing cover letters! Tell us about your most passionate personal project, your desired salary and your earliest possible start date.

We look forward to receiving your application!

Diversity & Inclusion

We welcome applications from people who will contribute to the diversity of our company.