Causal inference is the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system. The main difference between causal inference and inference of association is that causal inference analyzes the response of an effect variable when a cause of the effect variable is changed.
11 jobs · 6 companies · last seen 18 May 2026
There are currently 11 open roles in Berlin that mention Causal Inference, posted by 6 companies. It frequently pairs with Python, Stakeholder Management, SQL. Seen most in Data Scientist (16% of their roles) and Data Analyst (3% of their roles) and AI/ML (2% of their roles).
Frequently asked questions
- How many Causal Inference jobs are available in Berlin right now?
- There are currently 11 open roles in Berlin that mention Causal Inference, posted by 6 companies. The board is refreshed multiple times a day — more frequently during Berlin working hours — so new roles can appear throughout the day.
- Which companies in Berlin are hiring for Causal Inference?
- Companies currently listing the most Causal Inference roles include: Almedia, Delivery Hero, Zalando, Just Eat Takeaway, Taxfix.
- What skills pair well with Causal Inference?
- Employers who ask for Causal Inference also frequently require: Python (91%), Stakeholder Management (91%), SQL (82%), Machine Learning (73%), Communication (64%).
- In which Berlin job roles is Causal Inference most in demand?
- Based on current listings, Causal Inference appears most in: Data Scientist (16%), Data Analyst (3%), AI/ML (2%) roles.
Frequently paired with
By seniority
- Mid 45% (5)
- Senior 27% (3)
- Staff / Principal 18% (2)
- Head / Director / VP / C-Level 9% (1)
By job family
% of open roles in each family that mention Causal Inference
- Data Scientist 16% (5/32)
- Data Analyst 3% (2/61)
- AI/ML 2% (3/158)
- Leadership 1% (1/129)
By company
Top companies looking for Causal Inference
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Almedia 4 -
Delivery Hero 2 -
Zalando 2 -
Just Eat Takeaway 1 -
Taxfix 1 -
GetYourGuide 1
Open roles mentioning Causal Inference
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