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.
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ML-Driven Ad Yield Optimization Engineer in Sydney employer: Stan.
At Stan, part of Nine Entertainment Co., we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. Our commitment to employee growth is evident through flexible work options, generous parental leave, and unique perks that enhance your experience with us. Join our passionate team in the heart of Australia's media landscape, where your creativity and innovation will thrive as you contribute to award-winning productions and engage with a diverse range of campaigns.
