Staff Data Scientist

Our bar is high, and this is the best place for ambitious builders.

Bootstrapped and profitable from day one, Almedia is Germany’s fastest-growing company (FT1000). Join us as we build the global leader in rewards, at a $1bn+ revenue run rate and climbing fast.

Staff Data Scientist

We're looking for a Staff Data Scientist with high ownership to work on meaningful challenges at scale.

You spot leverage points others miss: measurement systems that unlock pricing, experimentation infrastructure that multiplies output, causal models that rewrite unit economics. You own these end to end.

We value diverse technical lenses. Whether you are:

• Causal inference specialist: propensity matching, DID, synthetic control, IV estimation. You turn observational chaos into rigorous insight.

• Experimentation architect: designing multi-arm tests, MMM, MTA, uplift modelling. You define statistical rigor.

• Systems thinker: building reward structures, pricing algorithms, ranking functions that balance engagement, conversion, and sustainable ROAS.

• Zero to one builder: taking vague business questions into production data products.

What You'll Own

• Measurement strategy. Design causal frameworks that reveal unit economics, attribution, and intervention impact. Own the gold standard documentation so others ship faster.

• Experimentation infrastructure. Build platforms that enable rapid iteration and define statistical rigor without sacrificing speed.

• High leverage models. Identify and own the models that move unit economics: pricing, ranking, user incentive systems. Partner with engineering to productionize rigorously.

• Technical leadership. Mentor junior data scientists. Set the bar for how we think about causality, measurement, and trade offs. Drive clarity when stakeholders disagree.

• Cross functional influence. Work alongside Product, Engineering, and Leadership to turn data insight into business action.

What We're Looking For

• Proven autonomy. Track record moving unit economics through novel approaches. You own problems end to end.

• Causal thinking. Deep experience with causal inference techniques (propensity matching, DID, synthetic control, IV estimation). You reason about causality, not just fit models.

• Experimentation expertise. Led complex multi-arm experiments and designed or owned MMM, MTA, or uplift modelling systems. You understand type I and type II error costs.

• Production maturity. Built and deployed models in product environments (Gaming, AdTech, user incentive systems preferred). You own metrics, monitoring, and decay.

• Data engineering fluency. Comfortable with modern data stacks (dbt, Airflow, Kubernetes, Terraform). You architect alongside engineering, not just consume.

• Communication and presence. Drive clarity in ambiguous situations. Translate complex analysis into decisions. Bring stakeholders along.

Why Almedia

• Grow at Almedia: profitable from launch, higher revenue per employee than Big Tech.

• Sharp, small team: we keep it small on purpose, every hire raises the bar.

• Equity: every Berlin employee gets a stake.

• Top of market baseline. Deliver outlier impact, earn accordingly.

We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.