As a data scientist on the measurement science team you will have the opportunity to work on high value, high visibility projects across the entire enterprise
This role is tasked with providing clarity to problems with high degrees of uncertainty
Your role will be responsible for applying advanced statistical and machine learning techniques to evaluate business metrics, designing and analyzing business experiments, applying quasi-causal techniques, and maintaining high code-quality practices to ensure insights are reproducible
This role will manage projects of medium complexity and contribute to projects of high complexity.

A minimum of 3 years demonstrated experience applying causal inference methodologies (A/B testing, experimental design, quasi-causal approaches, propensity score matching/weighting)
Strong foundation in statistical inference including hypothesis testing, general linear modelling, and Bayesian inference
Experience in statistical and machine learning fundamentals, including model evaluation, feature engineering, and supervised/unsupervised learning principles
Proficiency in Python and/or R for data analysis, data manipulation, and model development.

A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts
Access to world-class learning platforms and award-winning L&D
Clear career paths, internal mobility, and a strong focus on growth
A people-first culture with flexible working options

Data Scientist

Key skills