About The Position

We are seeking a highly skilled and experienced Senior Data Scientist to join our team. In this high-impact role, you will be the expert driving our success by creating and optimizing critical areas like User Acquisition models, LTV predictions, and Ad Monetization strategies. You will shape our product roadmap through in-depth Product Analytics and ensure data-driven growth by leading A/B testing initiatives with scientific rigor. If you thrive in a fast-growing and dynamic company and want to have real impact, we’d love to hear from you!

Requirements

  • 6+ years of professional experience in data science, focusing on machine learning, statistical analysis, and deep learning.
  • Ideally paired with experience in the mobile gaming industry
  • Proven expertise in user acquisition modeling, product analytics, and A/B testing methodologies and tools
  • Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
  • Familiarity with SQL for database querying and data manipulation
  • Strong knowledge of statistical methods and their application in business
  • Strong project management skills, with a track record of leading data science projects
  • Excellent communication skills and the ability to translate data into insights
  • Strong problem-solving skills and the ability to work collaboratively in a cross-functional team environment

Nice To Haves

  • Experience with mobile gaming analytics
  • Hands-on experience with Looker for data visualization and reporting
  • Familiarity with ad tech tools and platforms (e.g., Google Ads, Facebook Audience Network, Firebase)
  • Knowledge of reinforcement learning and its applications in gaming or ad optimization
  • Experience with cloud platforms (AWS, GCP) is a plus

Responsibilities

  • Build and optimize machine learning models to understand and predict user behavior across the full lifecycle - acquisition, engagement, churn, and LTV. Partner with marketing, product, and growth teams to turn those predictions into measurable business impact.
  • Conduct in-depth product analysis to identify key metrics and areas for improvement, using data insights to guide product development and enhance user experience. Collaborate with product managers to steer data-driven features and improvements.
  • Collaborate closely with the product team to design, implement, and analyze A/B and multivariate tests to optimize product features and marketing strategies. Ensure scientific rigor and proper statistical methods. Support interpreting the results and providing actionable insights to stakeholders.
  • Develop and deploy machine learning models for predictive analytics, user segmentation, and personalization, while applying deep learning techniques for complex data analysis tasks (image recognition, natural language processing, etc.) to drive user acquisition and monetization of our JustPlay app.
  • Lead data science projects from concept to delivery, coordinating with cross-functional teams (including Engineering, Product, and marketing) and managing timelines, deliverables, and stakeholder communication.

Benefits

  • Flexible working hours
  • Options for digital nomads, occasional office visitors, or regular office-goers
  • Free personal coaching through our partner nilo.health
  • A competitive personal development budget of up to 2000€/year for training, conferences, workshops, etc.
  • 25 vacation days
  • Free Wellhub gold subscription
  • Free monthly Deutschland-Ticket
  • A monthly €50 tax-free internet contribution
  • State-of-the-Art Equipment (MacBook or Windows)
  • Relocation Package including visa support
  • Engaging and Diverse Work Environment
  • Ergonomic setup
  • Free lunch on a daily basis
  • Dog-friendly environment
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