Your mission

This is a company built for growth, not comfort.

When you join exmox, you’re stepping onto a global, highly competitive playing field - solving real problems in environments that push you beyond your comfort zone.

We build high-performing consumer products across multiple brands in one of the most competitive industries there is: mobile gaming. You will be part of a company that is on a path of hyper-growth, spearheading one of the largest innovations in the mobile gaming industry - rewarded user acquisition.

At exmox, we don’t just analyze data. we leverage it to power strategic decisions, drive innovation, and unlock sustainable growth across our products and platforms. As a (Senior) Data Scientist (m/f/x), you will play a key role in shaping how data and machine learning are embedded throughout our business. From optimizing product performance to improving user engagement and predictive insights that directly impact revenue and strategic direction.

This isn’t a back‑seat analytics role. You will own end‑to‑end data science initiatives, influence key product outcomes, and partner closely with engineering, product, and business teams to build best‑in‑class data solutions at scale.

What You’ll Own

• Lead exploratory data analysis (EDA) to uncover patterns, trends, and opportunities that inform strategy and performance optimization (e.g., retention, ROAS).
• Translate complex datasets into clear, actionable insights that drive cross-functional decision-making.
• Design, develop, and deploy machine learning models for prediction, recommendation, and anomaly detection with a focus on scalability and real-world impact.
• Ensure models are production-ready, robust, and maintainable in collaboration with engineering and data teams.
• Build and maintain scalable data pipelines for reliable data ingestion, transformation, and model inputs across analytics and ML workloads.
• Partner with data engineering to improve infrastructure reliability, performance, and best-in-class data standards.
• Lead experimentation initiatives, including A/B testing, to validate hypotheses and measure the impact of product and ML enhancements.
• Collaborate closely with engineering and product teams to integrate AI/ML solutions into enterprise applications and ensure smooth deployment at scale.
• Champion data-driven decision-making by establishing and promoting best practices in analytics, modeling, and experimentation across the organization.

Your profile

Must-Haves

• 2 - 5 years of hands‑on experience applying data science methodologies end‑to‑end in production environments.
• Built and maintained scalable data pipelines (e.g., Spark, Databricks).
• Successfully deployed machine learning models into production (e.g., via API or streaming).
• Strong SQL skills and experience with modern data warehouses - you write and optimize complex queries.
• Exceptional ability to translate mathematical and ML concepts into actionable business outcomes.
• A collaborative mindset with a drive to solve hard problems with a team‑first attitude.

Nice to Haves

• Experience with advanced experimentation (e.g., causal inference, media mix models).
• Familiarity with deep learning, time‑series forecasting, or ML monitoring tools (e.g., MLflow).
• Background in AdTech or marketing analytics.

Why us?

• Ambitious people, real ownership. You’ll work with driven, entrepreneurial people who care deeply about what they deliver, challenge each other openly, and own outcomes together.
• We’re playing at the top, but we’re not done. Our apps rank in the top 5 of their categories. We’re determined to push further, compete harder, and earn the number one spot.
• You own your own growth. Growth doesn’t happen by accident. At exmox, learning is built into the work - through responsibility, feedback, and real challenges.
• Perks that help you focus on what matters. Transport subsidy, learning budget, wellness and gym, workation, bi-weekly team lunches, and more. The perks are great - but the real reason people join and stay is the challenge, the people, and the drive to win together. Please note: this is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany - working from home on Mondays & Fridays, coming to the office on Tuesday, Wednesday & Thursday! :)