Senior Data Analyst, ML & Experimentation (f/m/d)
About the role
<div class="jd-section"> <h3 style="font-size:16px;font-weight:800;color:#0F172A;margin:0 0 10px;">About adjoe</h3> <p><strong>adjoe</strong> develops scalable software and technological infrastructure across Europe and global hubs, welcoming agile engineering talent.</p> </div> <div class="jd-section" style="margin-top:20px;"> <h3 style="font-size:16px;font-weight:800;color:#0F172A;margin:0 0 10px;">About the Role</h3> <p>Seeking a dedicated <strong>Senior Data Analyst, ML & Experimentation (f/m/d)</strong> in the Data Analyst track. Model: <strong>Hybrid</strong> (Hamburg).</p> <p style="min-height:1.5em">adjoe builds the technologies behind mobile apps growth and monetization. With our core product <strong>Playtime Arcade</strong>, 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.</p><p style="min-height:1.5em"><strong>Architecting Intelligence to Optimize 200M+ Daily Decisions</strong></p><p style="min-height:1.5em">As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of <strong>770 million users</strong> and <strong>100,000+ predictions per second</strong>, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time.</p><p style="min-height:1.5em">Our architecture is built on a <strong>1PB+ behavioral data lake</strong>, providing the high-fidelity input necessary to train deep learning models t </div> <div class="jd-section" style="margin-top:20px;"> <h3 style="font-size:16px;font-weight:800;color:#0F172A;margin:0 10px 10px 0;">Technologies & Tools</h3> <p>adjoe</p> </div>
Responsibilities
- Participate in active sprint milestones and code reviews.
- Deliver production-quality modules according to technical specifications for Data Analyst.
- Maintain communication standards and sprint deadlines.
Stipend is paid upon completing at least 3 approved pull requests on the actual project repository along with maintaining required attendance (≥75%) and weekly milestone task completion.
Skills & Tech Stack
Eligibility
Open to pre-vetted interns, graduates, and professionals with domain competency.
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Stipend, if applicable, is contingent on assignment to a paid project and completion of required certifications. Full terms apply.