Data Scientist

Since 2013, the company has expanded from listings into payments, shipping and seller financing. More than 780 employees work on the product, from search ranking to fraud detection. Core hours are 10 to 3, and the rest of the day is flexible.

Position summary

Juneberry Commerce needs someone comfortable with both statistics and production code. You can work from home anywhere in Australia. We have no office requirement. We keep meetings to a minimum and work mostly async.

What you'll do

• Design and analyse A/B tests, including power calculations and guardrail metrics
• Segment customers and build churn and lifetime value models
• Partner with data engineering on feature tables and data quality
• Validate model performance and document assumptions and limitations
• Work with ML engineers to move models into production and monitor drift

Qualifications

• 3+ years of applied data science experience
• Experience building and validating machine learning models on real business data
• Ability to communicate uncertainty and tradeoffs to non-technical audiences
• Comfort with Jupyter, VS Code or Databricks notebooks
• Strong Python (pandas, NumPy, scikit-learn) and SQL
• MS or PhD in statistics, economics, computer science, physics or another quantitative field, or a BS plus equivalent experience
• Familiarity with Git and working in shared codebases

Preferred

• Bayesian methods with PyMC or Stan
• Causal inference beyond A/B testing
• Pricing or marketing mix modelling
• Spark for large datasets

Salary: $165,000 to $193,000 per annum

Pay and benefits

• Superannuation on top of salary
• Paid parental leave
• Annual bonus
• Novated leasing
• Additional leave days
• Salary packaging
• Flexible hours

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Juneberry Commerce.