Data Scientist – Statistical Analysis
2 days ago
About Us
Established in 1992, ESR is a leading research institute specialising in science that safeguards the health and wellbeing of people and natural environments.
We use world-leading science to monitor disease, test food and products, safeguard our water, and support the justice sector.
By joining forces with experts and iwi, we're tackling critical issues to ensure a better future for all.
We are committed to sustainability and value our people, providing an excellent environment for fostering and developing our people in a values-driven, flexible, and ever-evolving landscape.
The Role
We have a full-time permanent opportunity for a Data Scientist to contribute data science and machine learning expertise as part of our Lumi Drug Scan service.
In this role, you'll undertake data science with a specific focus on applying statistical expertise for the development of machine learning workflows and model development for the Lumi Drug Scan service.
You will plan experiments, collect data, perform statistical analysis to study data quality, build models, analyse performance, and report results.
The role involves working with other researchers and subject matter experts, drawing on your expertise in data science to prototype new solutions that improve ESR's impact for stakeholders and customers.
Requirements
- A PhD or master's degree, or equivalent in statistics, data science or a related field
- Previous experience in data science, with a focus on machine learning development in an early-stage industry
- Expertise developing automated machine learning (ML) workflows including data analysis, feature engineering and selection, ML model development, validation, calibration, and testing
- Experience in identifying and applying established statistical methods and techniques to compile, analyse and interpret data
- Experience of operating in a start-up environment or other early-stage projects is advantageous
- Experience in modern computing environments and programming languages, including Python, R or Bash
- Strong analytical skills for problem-solving and innovation
- Ability to flexibly adjust to a fast-changing environment
- Skills in Azure or Cloud environments and the ability to develop highly efficient software code is beneficial
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