Senior Data Scientist – Analytics and AI Data

We are excited to speak to skilled and experienced data professional with 3+ years of hands-on experience in data science, analytics, or data engineering, demonstrating end-to-end ownership of data products. The ideal candidate will possess strong proficiency in Python (pandas, NumPy, scikit-learn), advanced SQL skills, and experience with cloud data warehouses such as Google BigQuery. Practical experience with enterprise data processing platforms like Dataiku is also essential. Candidates should have demonstrated expertise in at least three of the following areas: data science/machine learning, BI/reporting and metric design, business analysis/stakeholder management, data engineering/data processing, or Gen AI/Agentic AI product deployment. Strong communication and storytelling abilities are crucial for fostering collaboration between business and technical teams. Preferred qualifications include experience in retail, luxury, fashion, or consumer environments, familiarity with experimentation (A/B testing), customer analytics (segmentation, propensity, churn, LTV), or marketing attribution. Exposure to Generative AI/LLMs and their application to customer experience and productivity, along with experience in a hub-and-spoke operating model, are also highly valued. Core competencies for this role include transversal product thinking, technical breadth spanning data science, MLOps, BI, data analysis, and data engineering, the ability to lead initiatives effectively across functions and geographies, and a strong outcome orientation focused on measurable business value and long-term maintainability. The appointed candidate will be offered a base salary within the range USD $140,000 - $160,000, a comprehensive benefits package including: medical, dental, vision, short and long-term disability, various paid time off programs, employee discount/perks and two retirement plans both with employer contributions. Please note that restrictions may apply to part-time employees The position requires 4 days per week on site in the Louis Vuitton Corporate Office, located in the heart of Midtown, Manhattan.