▷ [High Salary] Data Scientist (GCP)

2 weeks ago

Sydney, Australia Michael Page Australia Full time

- 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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