(Senior) Data Scientist (f/m/x)

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, data isn’t just numbers, it’s the engine behind smarter product decisions, user engagement, and sustainable growth. As a (Senior) Data Scientist (m/f/x), you will be the strategic partner to product, engineering, and business teams, proactively turning complex datasets into actionable insights and predictive solutions. Your work will directly influence product optimization, user retention, monetization, and long-term business strategy.

In this role, you’ll lead end-to-end data science initiatives, from hypothesis generation to production-ready machine learning models, ensuring that insights and predictions have measurable business impact. By connecting user behavior and product data to business outcomes, you’ll empower stakeholders to make confident, evidence-based decisions at scale.

What You'll Own

• Partner with product and business teams to define KPIs, prioritize initiatives, and solve strategic challenges.
• Conduct exploratory data analysis (EDA) to uncover patterns, trends, and opportunities that inform product performance, retention, monetization, and ROI.
• Translate complex datasets into actionable insights, dashboards, and reports for cross-functional decision-making.
• Apply statistical modeling and machine learning techniques to generate predictive insights and support business decisions.
• Lead experimentation and A/B testing initiatives to validate hypotheses and measure impact of product changes.
• Collaborate with engineering and analytics teams to ensure data quality and support analytical needs.
• Champion data-driven decision-making by establishing and promoting best practices in analytics, modeling, and experimentation across the organization.

What Success Looks Like

• Product growth is measurably improved through predictive insight: Models and analyses directly influence retention, monetization, and user engagement outcomes.
• Product and business decisions are driven by data, not intuition: Teams rely on your models, and hypotheses when prioritizing initiatives, optimizing features, and scaling product efforts.
• Predictive insights drive proactive action: Behavioral analysis and predictive modeling surface emerging changes in user behavior, churn, and monetization early, translating complex data into actionable insights that guide product strategy and business decisions.
• Analytics and ML capabilities scale with the business: Production-ready models, automation, and structured experimentation increase the speed and depth of data-driven decision-making.

Your profile

• Experienced: 5+ years of hands-on experience applying data science end-to-end in production environments, ideally in high-scale B2C settings such as gaming, free-to-play, or AdTech.
• Expert in data-driven business impact: Strong machine learning and analytical skills with a business focus, able to translate complex user and product data into production-ready models and predictive strategies that drive measurable improvements in retention, monetization, and engagement.
• Technical expertise: Skilled in Python, SQL, and modern data warehouses, experienced in building scalable data pipelines and deploying production ML models. Familiarity with deep learning, forecasting, and ML monitoring tools (e.g., MLflow) is a plus.
• Modeling & Experimentation: Strong understanding of predictive modeling, experimentation design, and the end-to-end ML lifecycle, with experience collaborating closely with engineers to operationalize models at scale.
• Communication & Collaboration: Able to articulate complex ML and data insights to technical and non-technical stakeholders alike, driving alignment and influencing product and business decisions.
• Independent and solution-oriented mindset: Comfortable operating in fast-paced, international environments and independently translating complex business questions into clear, actionable analyses.

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! :)