ML-Driven Ad Yield Optimization Engineer

Stan.; Sydney; Hybrid; AUD 110,000 - 150,000; Full time

Benefits offered by this job

18 weeks parental leave

Employee exclusives program

Digital newspaper subscription

Stan subscription gift

Job summary

Nine is seeking a Data Scientist to develop advanced optimization models for ad inventory to maximise yield. You will work with data scientists and engineering teams to deploy scalable, production-ready solutions and dashboards that translate complex math into actionable business insights for the Nine Sales team.

Flexibility is valued with hybrid or part-time arrangements; a quantitative degree and hands-on experience with optimization tools are essential.

Qualifications

• Bachelor's degree in a highly quantitative field (e.g., Operations Research, Applied Mathematics, Computer Science, Statistics, or Engineering).
• 2-3 years of commercial experience solving complex optimisation problems, or a PhD in a related quantitative discipline.
• Strong foundations in mathematical programming/theory (linear, mixed-integer, non-linear) with hands-on experience using Gurobi or similar solvers (e.g., CPLEX).
• Proficiency in Python and SQL with experience using core data science/optimisation libraries.

Responsibilities

• Develop, implement, and maintain advanced mathematical optimisation models to solve complex, business-critical commercial challenges.
• Collaborate with data scientists and platform engineering teams to build, scale, and deploy production-ready optimisation solutions and APIs.
• Clean, transform, and validate multi-source data while building tools and metrics to evaluate model stability, accuracy, and performance.
• Translate complex mathematical formulations into clear, actionable insights for key commercial stakeholders, particularly the Nine Sales team.

Skills

Optimization theory

Python

SQL

Education

Bachelor's degree in quantitative field

Tools

Gurobi

CPLEX

Job description

Nine is seeking a Data Scientist to develop advanced optimization models for ad inventory to maximise yield. You will work with data scientists and engineering teams to deploy scalable, production-ready solutions and dashboards that translate complex math into actionable business insights for the Nine Sales team.

Flexibility is valued with hybrid or part-time arrangements; a quantitative degree and hands-on experience with optimization tools are essential.