Top Data Jobs in Sydney

As a Data Scientist in Pricing/Revenue Management, you will enhance pricing models and tools, conduct data exploration and analysis, develop machine learning models, and effectively communicate insights to stakeholders. Your role includes writing quality code, employing best practices, and implementing solutions on cloud platforms.

The Senior Data Engineer will shape data strategies, address data warehousing challenges, lead design reviews, and mentor junior engineers. Responsibilities include architecting scalable systems and automating cloud infrastructure in a data-driven atmosphere within Autodesk's Customer Success Organization.

As a Team Lead Data Analysis and Visualization, you will mentor and lead a team of Insight Analysts, analyze complex data, create data visualizations, ensure data integrity, and develop business analytics solutions using SQL, DAX, and Python, contributing to data-driven decision-making and continuous learning.

The Global Data Analyst supports Purchase To Pay business processes within SAP by implementing master data governance strategies, conducting data quality assessments, and ensuring compliance with governance policies. They also lead projects in collaboration with IT and other stakeholders, providing user education and supporting data management efforts.

The Staff Data Engineer will lead and develop Blinq’s data engineering infrastructure, ensuring it is scalable and reliable. Responsibilities include designing data processing systems, building optimized data pipelines, ensuring data quality, and collaborating with cross-functional teams to align data systems with business goals.

The Responsible AI Data Scientist at Salesforce will assess various machine learning techniques to provide insights for production readiness, support model fairness and safety, and collaborate with teams on responsible AI practices and model testing.

The Data Annotation Specialist will tag, validate, and classify data, identify images and audio events, and evaluate model performance, contributing to AI processes. This entry-level role offers learning support and the chance to work in the AI industry.

As a Data Engineer at Demyst, you will collaborate with various stakeholders to build data-driven solutions, perform data analyses, and design scalable code blocks. You will also manage data integration projects and maintain production solutions.