Senior Data Scientist

Small accounting firms in Auckland use our engagement letter and e-signature tool, and most heard about us from a colleague. Profitable, no outside investors, and no plans to take any. We grow when customers pay us.

The previous person in this role moved to another team. We're hiring another Senior Data Scientist to build models and run analyses that change decisions on pricing, retention and demand. This hire will own our demand forecasting models and the process for keeping them accurate as conditions change. Remote within New Zealand. The team meets in Auckland once a quarter, travel covered. Flexible schedule. We have one team call a day, usually in the morning.

In this role you will:

• Build predictive models in Python using scikit-learn, XGBoost or LightGBM.
• Pull and shape data with SQL from Snowflake, BigQuery or Databricks.
• Develop time series forecasts with Prophet, statsmodels or gradient-boosted approaches.
• Present findings to product, marketing and finance leaders with clear recommendations.
• Package reusable code instead of leaving it in one-off notebooks.
• Estimate causal effects with difference-in-differences, propensity matching or regression discontinuity.
• Design and analyse A/B tests, including power calculations and guardrail metrics.
• Validate model performance and document assumptions and limitations.

What you'll need:

• 5+ years of applied data science experience.
• Ability to communicate uncertainty and tradeoffs to non-technical audiences.
• Familiarity with Git and working in shared codebases.

Preferred qualifications:

• Published research or strong Kaggle results.
• Pricing or marketing mix modelling.

Perks and benefits:

• KiwiSaver contributions.
• Five weeks annual leave after the first year.
• Annual bonus.
• Flexible hours.
• Employee assistance programme.

You must have the right to work in New Zealand.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at CFK Systems Limited.