Data Scientist (GCP) role at Michael Page
About Our Client: A leading Australian retailer serving millions weekly, known for innovation, sustainability, and customer focus. It drives data-led decisions across supply chain, digital platforms, and community initiatives to enhance everyday experiences.
Overview
Join to apply for the Data Scientist (GCP) role at Michael Page.
Responsibilities
- Design and implement scalable data models and pipelines using GCP tools (BigQuery, Dataflow, Vertex AI, etc.).
- Apply advanced statistical methods and machine learning techniques to solve real-world business problems.
- Collaborate with cross-functional teams including engineering, product, and analytics to deliver data-driven solutions.
- Develop dashboards, reports, and visualizations that communicate insights clearly to stakeholders.
- Champion data governance, quality, and best practices across the organization.
Qualifications
- A strong background in data science, analytics, or a related field.
- Proficiency in Google Cloud Platform (GCP) tools and services.
- Experience with programming languages such as Python or R.
- Excellent problem-solving and analytical skills.
- Knowledge of machine learning techniques and their practical applications.
- Strong communication skills to present data insights effectively.
- Attention to detail and a commitment to data accuracy.
What’s on Offer
- Competitive salary range: AUD 130,000 – 140,000, depending on experience.
- Permanent role with opportunities for career progression.
- Work in Sydney, a vibrant and bustling city.
- Collaborative and innovative company culture.
- Exposure to cutting-edge technologies in the retail industry.
- Generous holiday leave entitlements.
Contact: Emily Cawley. Quote job ref: JN-.
Job Details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Retail, Consumer Services, and Food and Beverage Services
Location: St Leonards, New South Wales, Australia
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