Staff Data Scientist

The role

A Staff Data Scientist will design causal frameworks, build experimentation infrastructure, and own high leverage models. You will provide technical leadership and work cross-functionally with Product, Engineering, and Leadership.

What you will do

• Design causal frameworks for unit economics, attribution, and intervention impact.
• Build platforms for experimentation infrastructure.
• Identify and own models for pricing, ranking, and user incentive systems.
• Partner with engineering to productionize models.
• Mentor junior data scientists.
• Set the bar for causality, measurement, and trade offs.
• Drive clarity when stakeholders disagree.
• Work alongside Product, Engineering, and Leadership to turn data insight into business action.

Required qualifications

• Track record moving unit economics through novel approaches.
• Deep experience with causal inference techniques (propensity matching, DID, synthetic control, IV estimation).
• Led complex multi-arm experiments.
• Designed or owned MMM, MTA, or uplift modelling systems.
• Understand type I and type II error costs.
• Built and deployed models in product environments.
• Own metrics, monitoring, and decay.
• Comfortable with modern data stacks (dbt, Airflow, Kubernetes, Terraform).
• Drive clarity in ambiguous situations.
• Translate complex analysis into decisions.

Nice to have

• Experience in Gaming, AdTech, or user incentive systems

Benefits

• Equity for every Berlin employee

About the company

Almedia is Germany’s fastest-growing company (FT1000) and is building the global leader in rewards. The company is bootstrapped and profitable from day one.