Junior Statistician: A/B Testing & Causal Inference

Jit Team; Malmö kommun; Hybrid; SEK 590,000 - 812,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Jit Team in Malmö offers a hybrid role for someone with strong statistics and causal inference skills. You will join a production search project, analyzing experiments and ranking methods, collaborating with cross‑functional teams on scalable development.

The position emphasizes applying statistics to real-world data, learning from senior engineers, and working with international teams on large-scale search and ML initiatives.

Qualifications

• : Degree in Statistics, Biostatistics, Econometrics, Applied Mathematics or related field.
• : Good understanding of statistical fundamentals including hypothesis testing and regression.
• : Knowledge of causal inference and experimental design including DAGs.
• : Basic experience with Python or R for statistical analysis.

Responsibilities

• Support the design and analysis of experiments (A/B testing, interleaving) to evaluate search ranking and relevance changes.
• Assist in applying causal inference methods to observational search and user engagement data.
• Help identify confounding factors, selection bias, seasonality, and novelty effects in experimental results.
• Perform statistical analyses of experiment and search log data, including hypothesis testing, regression, and variance estimation.
• Contribute to offline evaluation activities, including click models, exposure models, and position-bias correction.
• Document analytical findings, assumptions, and statistical limitations.
• Communicate results clearly to engineering and product teams.
• Learn and apply experimentation methodologies and statistical validation practices under the guidance of senior team members.

Skills

Statistics

Biostatistics

Econometrics

Python

R

Statistical analysis

Hypothesis testing

Experimental design

Causal inference

Education

BS in Statistics

MS in Biostatistics

Tools

Python

R

Solr

Lucene

Job description

Jit Team in Malmö offers a hybrid role for someone with strong statistics and causal inference skills. You will join a production search project, analyzing experiments and ranking methods, collaborating with cross‑functional teams on scalable development.

The position emphasizes applying statistics to real-world data, learning from senior engineers, and working with international teams on large-scale search and ML initiatives.