Senior Statistician – Causal Inference

Location: Hybrid, with 3 days per week in the Malmö office; commuting is possible for the first 3 months, after which relocation to Sweden is required.

Salary: 5,600–7,200 SEK/MD on B2B.

Company

hirify.global is a Polish IT company with more than 770 experienced experts, delivering specialized technology solutions with clients worldwide.

What you will do

• Design and analyse A/B tests, interleaving experiments, quasi-experiments, and observational studies for search-ranking and relevance changes.
• Apply causal inference to measure the impact of ranking changes on user behaviour and search performance.
• Identify confounding factors, selection bias, position bias, feedback loops, seasonality, and measurement noise.
• Develop and validate statistical models of user behaviour, including click models, exposure models, and position-bias correction.
• Analyse large-scale search and user-engagement data and collaborate with ML and Search Engineers on model evaluation.
• Improve experimentation methodologies, metric definitions, and statistical validation while communicating findings, uncertainty, and limitations to technical and business stakeholders.

Requirements

• Advanced degree (MS/PhD) or equivalent experience in Statistics, Biostatistics, Econometrics, Applied Mathematics, or a related quantitative field.
• Strong expertise in causal inference, experimental design, and quasi-experimental methods.
• Solid knowledge of hypothesis testing, regression analysis, variance estimation, Bayesian methods, and statistical modelling.
• Experience designing and analysing A/B tests, interleaving experiments, and observational studies.
• Knowledge of Difference-in-Differences, Instrumental Variables, Propensity Score Matching, Synthetic Control, and Uplift Modelling.
• Experience analysing large-scale behavioural or observational data, including search logs, clickstream, and user-engagement data.
• Ability to quantify uncertainty, validate statistical assumptions, and interpret experimental results.
• Proficiency in Python or R for statistical analysis and independent data exploration.
• Excellent communication skills, including the ability to explain complex statistical concepts to non-technical stakeholders.

Nice to have

• Experience with search, recommendation systems, or online marketplaces.
• Familiarity with Information Retrieval metrics such as NDCG and MRR.
• Experience with click models, exposure models, and position-bias correction.

Culture & Benefits

• Work on a globally used search and developer-platform project with large-scale mapping and location-based technologies.
• Collaborate with international, cross-functional engineering, ML, Search, and product teams.
• Work through a B2B contract with hybrid office attendance in Malmö.
• Access to development projects, a broad benefits package, and a proprietary professional development programme.
• hirify.global supports educational, charitable, healthcare, and local community initiatives.

Hiring process

• Submit an application through the hirify.global application form.