Data ScientistHybrid

We are oOh!media (pronounced “oh!” media).

oOh!media is the #1 Out of Home company in Australia and New Zealand. We exist to make public spaces better and brands unmissable, proudly leading the market with innovation, creativity, data and results. Our network plays an important role in the communities they are located, creating engaging environments that inform, entertain and inspire, while connecting brands with audiences at scale.

We have a unique culture, purpose and set of values that shape how we show up every day. We Win as One. We are Hungry. Always. And we Own It. We are oOh!media, and we are unmissable.

About the opportunity:

• Employment Type: Full-time, Permanent
• Flexibility: A vibrant, collaborative culture with 4 days in the office and flexibility built in
• Location: Based in Sydney

We are 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. You will also have the opportunity to explore emerging AI capabilities and modern data tooling to enhance analytics and drive innovative pricing solutions.

What you’ll be doing:

• Data Integration & Pipelines: Partner with Pricing, Revenue, and Data Science teams to source, integrate, and transform data into modeling-ready assets.
• Model Development & Testing: Develop, test, and refine pricing models using a range of statistical and machine learning approaches.
• Analytics Applications & Tools: Build and enhance Python, SQL, and interactive analytics applications that power pricing tools, dashboards, and automated insights.
• Productionisation & MLOps: Collaborate with Data and ML Engineers to support the productionisation, deployment, and ongoing operation of models and pipelines.
• Cross-Team Collaboration: Translate complex model outputs into clear analytical findings for both technical and non-technical business stakeholders.

What you’ll bring:

• Core Technical Capability: Proficiency in Python, SQL, statistics, and machine learning modeling, with practical experience analyzing large, complex datasets.
• Data Science Experience: 2+ years of professional experience as a Data Scientist or in a similar applied quantitative role.
• Model Evaluation & Problem-Solving: Strong problem-solving skills with hands-on experience developing, evaluating, and validating statistical and ML models.
• Communication & Stakeholder Management: Proven ability to communicate analytical findings clearly and work effectively with cross-functional teams.
• Desirable Experience (Bonus Points): Exposure to pricing, revenue management, or forecasting; experience with Databricks/PySpark, AWS, model productionisation, automation, or mathematical optimization.

Benefits and perks:

• Modern offices with great amenities and easy transport access
• Competitive salary and bonus opportunities
• Career development and learning opportunities to support your growth
• Generous parental leave and wellbeing support, including EAP access via Sonder
• Regular team events, social activities, and recognition programs
• Wellness initiatives and discounts to support your health and lifestyle
• The opportunity to work with leading brands on high-impact, creative campaigns

If you’re curious, ready for a unique challenge, and want to make a real impact, we want to hear from you!

Proudly recognised with an AWEI Bronze LGBTQ+ inclusion badge.

At oOh!, we celebrate diversity and are committed to creating an inclusive workplace where everyone feels they belong. We welcome applications from all backgrounds, including Aboriginal and Torres Strait Islander peoples, people with disabilities, LGBTQ+ individuals and refugees.

To be considered, applicants must be Australian citizens or permanent residents with full working rights in Australia, and all offers of employment are subject to employer-funded pre-employment checks including police, reference, and work rights verification, with additional checks such as credit, bankruptcy, drug and alcohol screening, or driver’s licence verification required for some roles.