Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

This is an applied full stack data science role partnering closely with the Customer team. You will build and ship models for customer lifetime value, survival analysis, incrementality testing, and channel mix. You will work directly with marketing and commercial stakeholders to frame questions, build models, and translate outputs into decisions. This is a senior individual contributor role where influence is through technical excellence and thought leadership.

Responsibilities

Build and own lifetime value and churn models that drive marketing prioritization and spend allocation.
Design and run incrementality experiments, including RCTs and quasi-experiments, to establish causality of marketing interventions.
Develop spend-curve and scenario planning models to forecast incremental outcomes from channel investment.
Work directly 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 over time with a clear path from prototype to production.

Requirements

7+ years in applied data science, statistical modelling, or quantitative research with a track record of shipping models that influenced decisions.
Production-quality Python or R coding skills with a focus on delivering workable, deployed models.
Strong statistical modelling skills including regression, survival and hazard models, Bayesian inference, and time series.
Comfort with data platforms on AWS or GCP, including deploying and scaling batch jobs or always-on models.
Causal inference expertise (difference-in-differences, synthetic control, interrupted time series, matching methods).
Solid SQL and hands-on experience with a cloud data warehouse (BigQuery preferred).
Ability to communicate clearly with non-technical stakeholders.
Proficiency in using AI agents and tools for analysis, code generation, and data exploration.
Experience in marketing analytics (customer LTV, media mix modelling, channel attribution) in e-commerce or subscription context is a bonus.
MLOps experience (model versioning, deployment pipelines, monitoring, retraining) is a bonus.
Familiarity with the GCP ecosystem (BigQuery, Vertex AI, Cloud Run) is a bonus.
Experience presenting to senior commercial stakeholders or embedding models into business planning cycles is a bonus.
Background in e-commerce, subscription, or retail is a bonus.

Skills

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

Location

Sydney

Work Type

Hybrid
Office
Home

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 biggest online pet retailer, founded in 2011.
The company has around 500 employees across Australia, New Zealand, and the Philippines.
Pet Circle aims to reshape how pet parents discover, choose, and receive pet needs.
The pet care industry is a $15 billion market in Australia, with growing pet ownership and increasing customer expectations for expert advice, personalized experiences, convenience, and reliability.
Pet Circle is building the future of pet care through technology, innovation, and a deep understanding of pets and their owners.

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.