Data Scientist

About oOh!media

oOh!media is the premier Out of Home advertising company across Australia and New Zealand. We focus on enhancing public spaces and making brands impossible to ignore, leading the market with innovation, creativity, data analytics, and measurable outcomes. Our extensive network adds value to local communities by creating engaging environments that inform, entertain, and inspire, connecting brands with wide audiences.

We maintain a distinctive culture with strong purpose and core values: winning collectively, demonstrating relentless drive, and taking accountability. We pride ourselves as being influential and memorable.

Opportunity Overview

• Role Type: Full-time, permanent position
• Work Flexibility: A collaborative office environment based in Sydney with 4 days in-office and flexible arrangements

As a Data Scientist, you'll advance our pricing strategy by enhancing machine learning models, analytics tools, data pipelines, and automation solutions. The role involves close collaboration with Pricing & Revenue teams, Data Science, and other departments to integrate varying data sources, craft and validate ML models, and deliver actionable insights to support pricing decisions. There is scope to explore AI advancements and modern data platforms to propel pricing innovation.

Key Responsibilities

• Collaborate with cross-functional teams to gather, integrate, and prepare data for modeling purposes.
• Create, test, and iterate on pricing-focused statistical and ML models.
• Develop and improve Python and SQL-based analytics tools, dashboards, and automation to support pricing frameworks.
• Work alongside Data and ML Engineers to operationalize and maintain models and data pipelines in production.
• Communicate findings from complex modeling clearly to both technical peers and business stakeholders.

Required Skills and Experience

• Strong expertise in Python programming, SQL querying, statistical methods, and machine learning algorithms.
• Over two years of direct experience as a Data Scientist or in an applied quantitative analytics role.
• Demonstrated ability to troubleshoot, evaluate, and validate robust statistical and ML models effectively.
• Excellent communication skills for articulating analyses to interdisciplinary teams and stakeholders.

Preferred but Not Mandatory

• Background in pricing strategy, revenue management, or demand forecasting.
• Familiarity with Databricks, PySpark, AWS cloud services, and model automation/production processes.
• Understanding of mathematical optimization techniques.

Employee Benefits and Culture

• Work in modern, well-equipped offices with convenient transportation options.
• Competitive remuneration and performance-based bonus plans.
• Opportunities for professional growth and learning.
• Comprehensive parental leave and mental health support, including access to employee assistance programs.
• Frequent team-building activities, social events, and employee recognition programs.
• Health and wellness initiatives, plus lifestyle discounts.
• Engagement with prominent brands on impactful and creative marketing campaigns.

Diversity and Inclusion

We embrace diversity and actively foster an inclusive workplace where everyone feels they belong. We encourage applications from people of diverse backgrounds including Indigenous Australians, persons with disabilities, LGBTQ+ individuals, and refugees.

Work Eligibility and Conditions

Applicants must be Australian citizens or permanent residents with full legal rights to work in Australia. Employment offers are contingent upon thorough pre-employment screenings including police checks, reference verification, and work rights confirmation. Certain roles may require additional checks such as credit history, bankruptcy, substance testing, or driver’s license verification.