Data Scientist

Join our team as a Data Scientist, where you will partner with marketing, sales, and operations teams to define business problems, establish success metrics, and identify opportunities for improvement. You will explore and combine data from multiple sources, build and evaluate predictive models, apply statistical analysis, and develop reusable analytical workflows. Additionally, you will collaborate with engineering teams to integrate models into business workflows and present findings to both technical and non-technical audiences.

- Collaborer avec les équipes marketing, commerciales et opérationnelles pour définir les problèmes commerciaux, établir des indicateurs de succès et identifier les opportunités d'amélioration. - Explorer et combiner des données provenant de plusieurs sources en utilisant SQL et Python, enquêter sur les problèmes de qualité des données et développer des fonctionnalités. - Construire et évaluer des modèles prédictifs pour des cas d'utilisation tels que la propension des clients, la valeur à vie, la segmentation et la prévision.

- Strong communication skills and the ability to collaborate across technical and business teams - Experience with GCP, BigQuery, or comparable cloud data platforms - Experience with forecasting, propensity modeling, customer lifetime value, or experiment design - Familiarity with LLM APIs, embeddings, retrieval-augmented generation (RAG), or evaluating AI-powered applications - Strong SQL skills and proficiency in Python for data preparation, analysis, modeling, and evaluation - Experience in digital marketing, customer acquisition, sales, or customer analytics - A solid foundation in statistics and machine learning, including regression, classification, clustering, and hypothesis testing - Ability to translate ambiguous business questions into a structured analytical approach and actionable recommendations - Experience with feature engineering, model validation, and selecting appropriate evaluation metrics, including an understanding of overfitting and data leakage - 2+ years of experience in data science or a closely related role applying statistical analysis and machine learning to business problems - Attention to data quality, reproducibility, and documentation, with familiarity using version control - Ability to work with AI and LLMs, demonstrated through professional, academic, or personal projects. Familiarity with prompting, working with model outputs, and evaluating their accuracy and reliability - Experience partnering with engineering teams to deploy and monitor models