Data Scientist - Forecasting

原始資料於 2026-11-04T15:05:00.107399+00:00 查閱；內容可能已更新，請查看原始職位。

What we are looking for:
You're curious, analytical, and a strong problem-solver, with a structured approach to tackling business problems. You bring strong foundations in modelling and data manipulation, and are motivated by applying these to impactful, commercial problems.
Experience building predictive models (e.g. churn, propensity, segmentation, or value modelling) in a commercial setting.
Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership.
Proficiency in Python and SQL, and familiarity with common data science and ML libraries.
Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine and tune them for real-world problems.
Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross-functional stakeholders.
Awareness of modern machine learning approaches (e.g. embeddings, sequence models, deep learning) and interest in applying them to real-world problems.
Experience working with large datasets to generate actionable insights.
A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Computer Science).
Nice to Have:
Familiarity with production environments, MLOps, or data pipelines.
Experience working with large-scale data using PySpark or equivalent distributed data processing tools.
Experience in gaming, e-commerce, or subscription-based products.