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Data scientist (gcp)

Sydney
Michael Page Australia
Data Scientist
Posted: 30 September
Offer description

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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