Your mission

You actively shape your position, we want you to get involved and contribute ideas!

Exploratory Data Analysis & Insights

• Conduct deep-dive exploratory data analysis (EDA) to identify trends, predict user behavior and optimize key performance metrics (e.g., retention, ROAS).

Machine Learning & Predictive Analytics

• Design, develop, and deploy advanced machine learning models for predictive analytics, recommendation systems and anomaly detection.
• Optimize data-driven strategies through AI/ML applications.

Data Engineering & Pipeline Development

• Build and maintain scalable data pipelines for data ingestion, transformation and high-quality model inputs.

A/B Testing & Experimentation

• Design and execute rigorous A/B tests to validate hypotheses and assess the impact of new features.

AI/ML Integration & Collaboration

• Work closely with engineering and product teams to integrate AI/ML solutions into enterprise applications.
• Ensure smooth deployment and scalability of machine learning models.

Data-Driven Leadership & Best Practices

• Act as a thought leader, promoting data-driven decision-making and implementing best practices across the company.

Beyond your operational responsibilities, you will also embody and champion our core values every day:

• Elevate Together – Collaboration is our strength. We support each other, embrace diversity, and grow as a team.
• Xray Transparency – Open communication builds trust and strong relationships. We value honesty, inclusion, and accountability.
• Master Feedback – We challenge and support each other through honest, caring feedback.
• Own the Outcome – We take ownership, move fast, and turn ideas into results.
• Xcute Smart – Keep it simple, act pragmatically, and focus on what truly matters.

Your profile

Must-Haves

• 2–5 years of applying data-science methodologies end-to-end in production (not just prototyping)
• Built and maintained scalable data pipelines using Spark and Databricks for large-scale data ingestion and transformation
• Deployed at least one machine-learning model (Scikit-learn, PyTorch) into a production API or streaming pipeline
• Authored complex SQL for analytics and ETL on modern data warehouses
• Translated sophisticated mathematical and ML concepts into clear, actionable insights for both technical and non-technical stakeholders
• Demonstrated strong problem-solving skills and a collaborative, team-first mindset

Nice to Haves

• Familiarity with advanced experimentation techniques (causal inference, A/B testing, media mix modeling).
• Experience with deep learning and time series forecasting for business applications.
• Hands-on experience with 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! :)