Senior Machine Learning Engineer tackling complex payment risk challenges for Airwallex. Collaborating with teams to deliver industry - leading model systems while implementing end - to - end ML solutions.
About the role
- Data Scientist at Allstate applying advanced statistical and machine learning techniques on high visibility projects. Collaborating with teams to provide clarity to uncertain business problems.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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