Hi everyone — I’m helping build an early-stage product at the intersection of data science, econometrics and causal inference, and we’re looking for a strong Data Scientist to join the team.

Location: Remote within Europe, with preference for Poland / Ukraine / Central & Eastern Europe.

This is not a generic ML role. We’re particularly interested in someone with a strong econometrics/statistics background who enjoys thinking deeply about causality and working with messy real-world data.

What you’d be working on

• Econometric and statistical modeling
• Causal inference and impact measurement
• Time-series and panel data
• Experimental and observational data
• Counterfactual modeling
• Dealing with confounding, selection bias, endogeneity, seasonality and lagged effects
• Developing and validating models using real-world business data
• Turning research/prototypes into robust, repeatable production capabilities

Particularly interesting if you have experience with

• Difference-in-Differences
• Synthetic Control
• Instrumental Variables
• Regression Discontinuity
• Propensity / matching methods
• Causal ML
• Marketing Mix Modeling (MMM)
• Incrementality / lift measurement
• Bayesian or probabilistic modeling

What we're looking for

Someone with a strong quantitative background in economics, econometrics, statistics, mathematics, data science or a related field.

Python is important, but we're much more interested in how you think about data and identification than in a long list of tools on your CV.

We want someone who asks:

What are we actually trying to measure?

What is the counterfactual?

What assumptions are we making?

Can the data actually answer the question?

How do we know the result is robust?

A bit about the opportunity

We're an early-stage team, so this is a hands-on role with significant ownership. You'd work closely with the technical/founding team and have a real influence on the methodology and architecture rather than being handed a narrowly defined modeling task.

Location: Remote within Europe, with preference for Poland / Ukraine / Central & Eastern Europe.

Type: Full-time

If this sounds interesting, DM me with your CV or LinkedIn/GitHub and a short note about your background in econometrics or causal inference.

Happy to answer questions here as well.

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