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.