Data Scientist

Essential Duties And Responsibilities

• Design, build, and deploy predictive models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
• Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
• Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
• Collaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.
• Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
• Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
• Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact opportunities.
• Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
• Translate complex model results into clear business insights for technical and non-technical audiences.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.
• Minimum 5 years of experience in data science, machine learning, or related fields.
• Experience with Python, pandas, numpy, scikit-learn, PyTorch, TensorFlow.
• Experience with data engineering tools and techniques.
• Strong understanding of machine learning algorithms and their applications.
• Experience with A/B testing and causal inference.
• Excellent problem-solving and analytical skills.
• Ability to communicate complex technical concepts to non-technical stakeholders.