Senior Experiment Data Scientist (Causal Inference)

TL;DR

Senior Experiment Data Scientist (Causal Inference): Building a marketing measurement experimentation platform to run incrementality experiments and integrate results into MMM models with an accent on causal inference methods and experiment design. Focus on implementing power analysis, geo-splitting, and synthetic control to provide actionable marketing insights for global retailers.

Location: Hybrid (Helsinki/Espoo region). Must be based in or be able to relocate to Finland

Salary: €5,200–6,000 per month

Company

hirify.global is a data science company providing Marketing Mix Modelling (MMM) tools to help retailers and consumer brands optimize their marketing investment decisions.

What you will do

• Design and implement core methodologies for experiment design, power analysis, and geo-splitting.
• Apply causal inference methods such as difference-in-differences and synthetic control to validate and calibrate MMM models.
• Build data pipelines and analysis code to transform raw experiment data into trustworthy, actionable results.
• Scope and run incrementality experiments, including geo-lift and ad platform conversion lift tests, directly with customers.
• Translate complex analytical findings into practical marketing decisions for clients.
• Iterate on the experimentation platform based on feedback from customers and internal users.

Requirements

• Solid foundation in statistics and causal inference, including probability distributions, Bayesian inference, and quasi-experimental methods.
• Strong hands-on Python skills for building maintainable analyses and data pipelines.
• Clear communication in English for explaining complex topics to technical colleagues and customers.
• Current location in the Helsinki/Espoo region or willingness to relocate to Finland.

Nice to have

• Experience analyzing marketing incrementality tests (geo-lift or conversion lift).
• Experience with marketing technology, MMM, or customer-facing analytics products.
• Proven track record of building and shipping scalable products for real users.
• Curiosity about utilizing modern AI tools to optimize workflows.

Culture & Benefits

• Hybrid work model with regular collaboration at the Helsinki/Espoo office.
• International, low-hierarchy scaleup environment with colleagues from 10+ nationalities.
• Comprehensive benefits package including healthcare, lunch and activity benefits, and home care services for sick children.
• Five weeks of paid holiday from day one.
• Equity options program, phone, and necessary equipment provided.

Hiring process

• 30-minute introductory call with a hirify.global Data Scientist.
• Interview sessions consisting of a conversational interview and a hands-on case exercise on experimentation and causal inference.
• Meetings with potential future team members.