Data Scientist

Annual releases gave way to two-week sprints years ago, and the platform now handles over 200 million API calls a day. Our engineering group is split into roughly 60 product teams, each owning its services end to end, with on-call shared across time zones.

Job summary:

We're hiring another Data Scientist to build models and run analyses that change decisions on pricing, retention and demand. This is a fully remote position open to candidates anywhere in Italy.

Day to day:

• Present findings to product, marketing and finance leaders with clear recommendations.
• Package reusable code instead of leaving it in one-off notebooks.
• Pull and shape data with SQL from Snowflake, BigQuery or Databricks.
• Build predictive models in Python using scikit-learn, XGBoost or LightGBM.
• Estimate causal effects with difference-in-differences, propensity matching or regression discontinuity.
• Partner with data engineering on feature tables and data quality.
• Design and analyse A/B tests, including power calculations and guardrail metrics.
• Work with ML engineers to move models into production and monitor drift.

Required qualifications:

• 3+ years of applied data science experience.
• Data visualization in matplotlib, seaborn, Plotly or a BI tool.
• Familiarity with Git and working in shared codebases.
• Strong Python (pandas, NumPy, scikit-learn) and SQL.

Benefits:

• Private health insurance.
• Remote work allowance.
• Training budget.
• Flexible start and finish times.
• Meal vouchers.
• Life insurance.

We review applications as they come in.

Start: Immediately.

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