Staff Data Scientist

Almedia; Berlin; On-site; EUR 100,000 - 150,000; Full time

Benefits offered by this job

Equity for Berlin employees

Competitive compensation

Growth opportunities

Job summary

Almedia in Berlin is seeking a Staff Data Scientist to own high-impact data initiatives at scale. You will shape measurement systems, causal frameworks, and pricing signals that drive unit economics and ROAS.

You will design robust experimentation platforms, productionize models, and mentor a small team while partnering with Product, Engineering and Leadership to turn insights into strategic actions.

Qualifications

• Proven autonomy in delivering end-to-end data initiatives.
• Strong causal inference and experimental design skills.
• Experience building scalable data models in production.
• Excellent communication with cross-functional teams.

Responsibilities

• Design measurement frameworks revealing unit economics and attribution.
• Build experimentation infrastructure enabling rapid iteration.
• Identify and own models that improve pricing and ranking.
• Mentor junior data scientists and guide stakeholders.
• Collaborate with Product, Engineering and Leadership to translate insights into actions.

Skills

Autonomy

Causal thinking

Experimentation

Production models

Data engineering

Communication

Tools

dbt

Airflow

Kubernetes

Terraform

Job description

This isn't your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We're aiming to become Germany's second bootstrapped unicorn. Almedia is already Europe's #3 fastest-growing company in 2025 (FT1000).

We are building the future of marketing by rewarding our community of over 95 million users for engaging with our advertisers' products. We are offering a new way to acquire users for the biggest companies in the world.

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.