Pricing ML Data Scientist - Hybrid, Sydney

oOh!; North Sydney Council; Híbrido; AUD 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Modern offices

Salary bonus

Career development

Parental leave

Wellbeing

Team events

Wellness discounts

Brand campaigns

Resumo da oferta

oOh!media is seeking a highly capable Data Scientist to join our team, supporting and extending our pricing capability across machine learning models, analytics applications, pipelines, and automation.

In this role, you will partner closely with Pricing & Revenue, Data Science, and cross-functional teams to integrate diverse data sources, develop and evaluate ML models, and deliver data-driven insights that directly influence pricing strategy.

Qualificações

• 2+ years of professional experience as a Data Scientist or in a similar applied quantitative role.
• Proficiency in Python and SQL with hands-on ML modeling experience.
• Ability to build, evaluate, and deploy pricing models and analytics tools.
• Strong communication to translate model outputs for cross-functional stakeholders.

Responsabilidades

• Data Integration & Pipelines: source, integrate, and transform data for modeling.
• Model Development & Testing: develop, evaluate, and refine pricing models.
• Analytics Applications & Tools: build Python/SQL apps powering pricing dashboards.
• Productionisation & MLOps: support deployment and operation of models and pipelines.
• Cross-Team Collaboration: translate model outputs into actionable insights.

Conhecimentos

Python

SQL

Statistics

Machine Learning

Ferramentas

Databricks

PySpark

AWS

Descrição da oferta de emprego

oOh!media is seeking a highly capable Data Scientist to join our team, supporting and extending our pricing capability across machine learning models, analytics applications, pipelines, and automation.

In this role, you will partner closely with Pricing & Revenue, Data Science, and cross-functional teams to integrate diverse data sources, develop and evaluate ML models, and deliver data-driven insights that directly influence pricing strategy.