AL
Almedia· HQ in Germany

Junior Data Scientist

Location: Berlin · Category: Data, AI & Analytics · Seniority: Junior · EUR60,000 – EUR85,000 / yearly · Posted: October 16, 2026 · Verified: Oct 30, 2026

Role Overview & Description

This Junior Data Scientist role involves building production ML models that predict user value, engagement, and reward behavior for a rewards platform. The role includes running A/B tests, building and fixing data pipelines, and taking on new problems from idea to production. Requires strong Python and SQL skills, a proactive mindset, and a track record of going beyond 'good enough'.
Hiring Telemetry · Expansion Signal

Track team expansion and market signals for Almedia

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Source & Transparency: This position was structured directly from the publicly accessible career portal of Almedia. Details on the employer’s original job posting are authoritative. Polaris7 charges no placement fees and conducts no candidate screening.
Company IntelligenceVerified Profile
AL

Almedia

almedia.co

Rewarded user acquisition platform connecting advertisers with incentivised users.

Headquarters: Germany

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Verified 1d agoBerlinData, AI & AnalyticsUnspecified

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 95 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. Berlin, On-site Top-of-Market Compensation - Exceptional commitment deserves exceptional reward   Most junior data engineers start by maintaining pipelines someone else designed, working through a ticket queue, and sitting several steps away from the product. Here, you'll build the pipelines and services that run live and feed what millions of users see every day. You'll take the engineering fundamentals you've built and apply them to problems at scale. Your first 12 months compress what takes 3 years elsewhere.   You'll join a small team of engineers who have built and run data platforms at scale. You'll work on real problems from week one with the support to solve them. Show us you can own more, and we'll give you more.   WHAT YOU'LL DO - Build and ship data pipelines that run live in production, from ingestion to storage, across near-real-time and batch workloads. - Build Python services and APIs that other teams and products rely on. - Work with operational databases and learn to run them under real production load: schema design, reliability, and performance. - Build tests, monitoring, and data quality checks that catch problems before a stakeholder has to tell you. - Help keep a warehouse of hundreds of terabytes fast, reliable, and cost-efficient. - Own undefined data problems from first idea to production. No playbook. You own it all.   WHAT YOU'LL BRING - Strong Python and SQL. You use AI tools to move faster, and you still verify the output. - Proof of depth as an engineer: a degree in computer science or a related field, internships, open-source work, a thesis, or a system you built yourself and kept running. - Hands-on experience with a database beyond the basics (PostgreSQL, MongoDB, or similar). You understand schemas, indexes, and what breaks under load. - You get going on a vague problem without waiting for a spec, and you take it further than you were asked. - You think about reliability. You debug rigorously when things break, and you want to know why before you fix it. - Bonus: Kafka or Pub/Sub, dbt, Docker, Terraform, competition results, or a project you built and hardened yourself.   WHY ALMEDIA - Grow at Almedia: profitable from launch, higher revenue per employee than Big Tech. - Sharp, small team: we keep it small on purpose, every hire raises the bar. - Equity: every Berlin employee gets a stake. - Top-of-market baseline. Deliver outlier impact, earn accordingly.   Small team, high