Senior Data Scientist

Advertising, subscriptions and transaction fees each bring in a significant share of revenue. Traffic during holiday peaks can reach ten times normal levels, and the platform is built for it. We started in 1996 and have grown to about 109,600 people.

We're hiring another Senior Data Scientist to build models and run analyses that change decisions on pricing, retention and demand. This is a long-term contractor role, paid monthly in USD. Core hours are 10:00 to 15:00 CET.

In this role you will

• Build predictive models in Python using scikit-learn, XGBoost or LightGBM
• Estimate causal effects with difference-in-differences, propensity matching or regression discontinuity
• Segment customers and build churn and lifetime value models
• Package reusable code instead of leaving it in one-off notebooks
• Partner with data engineering on feature tables and data quality

Skills and experience

• 5+ years of applied data science experience
• Comfort with Jupyter, VS Code or Databricks notebooks
• Solid grasp of statistical inference, regression and experimental design
• Familiarity with Git and working in shared codebases

Benefits

• Paid time off
• Company laptop
• Flexible hours

If you are shortlisted, we will reach out to set up a first call.

Duration: 6 months. Start: Flexible.

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