Top Data Jobs in Sydney

As a Data Lead for Print, you'll act as a strategic thought leader, coaching a team of data scientists and an analytics engineer. Responsibilities include driving data strategy, discovering insights, managing projects, and aligning stakeholders. You will help enhance Print business performance through data-driven decisions and innovative solutions.

Hiring a Data Engineer at Atlassian to build data solutions for business decisions, work on data models and pipelines, and contribute to Atlassian's data-driven culture. Responsibilities include collaborating with data analytics teams, architecting data models, adding new sources, improving data quality, and owning end-to-end problems. Requires strong programming skills in Python, experience with relational databases, data modeling, and building scalable data pipelines using Spark and Airflow. Knowledge of AWS data services and modern software development practices is important.

The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.

As a Staff Data Scientist, you will lead analytics tooling development for innovative projects, focusing on MarTech initiatives and complex challenges. You will collaborate with various teams to drive technical solutions, advocate for data ownership, ensure legal compliance, and deliver impactful communications.

The Market Data Specialist at IMC will manage the APAC data catalogue, oversee vendor relationship management, ensure compliance with data usage rights, and lead contract negotiations. Responsibilities include daily data management functions, monitoring data needs, and educating teams on data utilization impacts.

The Sr. Data Scientist will lead model development for Empower's Southeast Asia launch, focusing on credit risk models to increase approval rates while reducing loss rates. Responsibilities include collaborating with stakeholders, building machine learning models, and improving financial product offerings.

As a Staff Data Scientist at Empower, you will develop risk models and credit policies to drive competitive underwriting practices. You will lead teams to analyze consumer behaviors and adapt solutions for the Latin American market, enhancing customer financial well-being. This role is pivotal for launching innovative financial products and requires tackling complex geographic challenges.

Lead Credit and Data Science functions for international markets. Develop risk models, credit policies, and innovative products to enhance customer experience and business growth. Collaborate with teams to adapt strategies based on market-specific data and consumer behavior.