Data Scientist

10 hours ago


Council of the City of Sydney, Australia Michael Page Australia Full time

Overview

- Apply for impact, innovation, growth and culture
- All in one role that empowers you to shape the future through data.

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.

Job Description

- 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

The Successful Applicant

A successful Dummy Data Scientist (GCP) should have:

- 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: $130,000 - $140,000 AUD, 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.

If you/'re ready to take the next step in your career as a Dummy Data Scientist (GCP), apply today to join this exciting journey in the retail analytics space

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