Pricing Data Scientist: ML, Analytics & Pipelines

OOH Media Corporation; North Sydney Council; Hybrid; AUD 90,000 - 150,000; Full time

Benefits offered by this job

Modern offices

Salary & bonus

Career development

Parental leave & wellbeing

Team events

Wellness discounts

Brand campaigns

Job summary

oOh!media in Sydney is seeking a Data Scientist to enhance pricing capability with ML models, analytics pipelines, and automation. Partner with Pricing & Revenue, Data Science, and cross-functional teams to integrate data sources and deliver insights that shape pricing strategy.

You'll explore AI capabilities and modern data tooling to power pricing solutions and build analytics apps in Python and SQL, supporting scalable decision making.

Qualifications

• Proficiency in Python, SQL, statistics, and ML modelling.
• 2+ years of professional data science experience.
• Strong ability to evaluate, validate and refine ML models.
• Clear communication with cross-functional teams.
• Bonus: pricing, revenue mgmt, or forecasting exposure; Databricks/PySpark, AWS experience.

Responsibilities

• Data Integration & Pipelines: source, transform and prepare data for modeling.
• Model Development & Testing: build and validate pricing models.
• Analytics Apps & Tools: develop Python/SQL apps powering pricing tools & dashboards.
• Productionisation & MLOps: support deployment and operation of models/pipelines.
• Cross-Team Collaboration: translate model outputs for stakeholders.

Skills

Python

SQL

Statistics

ML modelling

Data analysis

Stakeholder communication

Tools

Databricks/PySpark

AWS

Job description

oOh!media in Sydney is seeking a Data Scientist to enhance pricing capability with ML models, analytics pipelines, and automation. Partner with Pricing & Revenue, Data Science, and cross-functional teams to integrate data sources and deliver insights that shape pricing strategy.

You'll explore AI capabilities and modern data tooling to power pricing solutions and build analytics apps in Python and SQL, supporting scalable decision making.