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About the Role

This is an applied data science role partnering closely with the Customer team, focusing on building and shipping models for customer lifetime value, survival analysis, incrementality testing, and channel mix. It's a senior individual contributor role where influence is driven by technical excellence and thought leadership, aiming to raise the bar for data usage in marketing decisions.

Responsibilities

• Build and own lifetime value and churn models to guide Marketing's customer segmentation and spend allocation.
• Design and execute incrementality experiments (RCTs, quasi-experiments) to validate marketing intervention effectiveness and establish experimental standards.
• Develop spend-curve and scenario planning models to forecast incremental outcomes from channel investments.
• Collaborate with marketing and commercial stakeholders to frame hypotheses, design tests, and communicate results to non-technical audiences.
• Productionize models, monitor for drift, and maintain reliability from prototype to deployment.

Requirements

• 7+ years in applied data science, statistical modelling, or quantitative research with a proven track record of shipping impactful models.
• Proficiency in writing production-quality Python or R.
• Strong statistical modelling skills including regression, survival and hazard models, Bayesian inference, and time series.
• Experience with data platforms on AWS or GCP for deploying and scaling models.
• Expertise in causal inference methods such as difference-in-differences, synthetic control, interrupted time series, and matching methods.
• Solid SQL skills and hands-on experience with a cloud data warehouse (BigQuery preferred).
• Ability to communicate technical concepts clearly to non-technical stakeholders.
• Experience utilizing AI agents and tools for analysis, code generation, and data exploration.
• Experience in marketing analytics, including customer LTV, media mix modelling, or channel attribution in e-commerce or subscription contexts.
• MLOps experience, including model versioning, deployment pipelines, monitoring, and retraining workflows.
• Familiarity with the GCP ecosystem (BigQuery, Vertex AI, Cloud Run).
• Experience presenting to senior commercial stakeholders or embedding models into business planning cycles.
• Background in e-commerce, subscription, or retail with a focus on customer behaviour data.

Skills

• Python
• R
• Statistical Modelling
• Regression
• Survival Analysis
• Hazard Models
• Bayesian Inference
• Time Series Analysis
• Causal Inference
• Difference-in-Differences
• Synthetic Control
• Interrupted Time Series
• Matching Methods
• SQL
• BigQuery
• AWS
• GCP
• AI Agents
• Customer Lifetime Value (LTV)
• Media Mix Modelling
• Channel Attribution
• MLOps
• Model Versioning
• Deployment Pipelines
• Model Monitoring
• Model Retraining
• Vertex AI
• Cloud Run

Location

• Sydney

Work Type

• Hybrid
• Flexible working

Experience Level

• Senior

Benefits

• Development opportunities (lunch & learns, secondments, unlimited learning courses via Go1)
• Flexible working environment
• Up to 50% employee discount
• Product sample giveaways
• Pawrental leave
• Wellbeing leave
• Volunteer days
• Fitness corporate partnership

About the Company

• Pet Circle is Australia's largest online pet retailer, founded in 2011, with a mission to provide the best for pets and a better way for pet parents to care for them.
• The company operates in the $15 billion Australian pet care industry, focusing on technology and innovation to meet the evolving expectations of modern pet parents.
• Pet Circle has approximately 500 employees across Australia, New Zealand, and the Philippines.

Equal Opportunity

• We're better when we don't all think the same. Different backgrounds, perspectives and experiences make our work sharper and our days more interesting, so whoever you are, if this role excites you we'd love to hear from you, even if you don't tick every box.
• If you need anything adjusted in the process to do your best, just say the word, we're happy to help.