• Python
• PyTorch
• NumPy
• Pandas
• Machine Learning
• Deep Learning
• Large Language Models (LLMs)
• Natural Language Processing
• Reinforcement Learning
• Information Retrieval
• Feature Engineering
• AWS
• MLOps
• A/B Testing
• Causal Inference
• Jupyter
• Shell Scripting
• Linux

As a Data Science Senior Associate on the applied science team, you will build, optimize, and innovate across multiple product lines including agentic enterprise search, commerce cloud, and Salesforce personalization. You will produce performant machine learning models, architect components to improve AI agents, build benchmarks, and tune prompts to enhance relevance, personalization, and efficiency.

You will work on search agents, retrieval strategies, product recommendations, content and promotion selection, next-best-action systems, and more — leveraging both frontier foundational models and open-source models for real-world use cases. Your responsibilities include researching, prototyping, and building demonstrations of AI ideas for quick validation, then designing and building AI systems that meet accuracy and performance targets.

Collaboration is central to this role: you will work closely with engineering and product teams to productize AI innovations, translate business problems into applied science problems, and educate cross-functional teams about AI science. You will also be expected to contribute to conferences, open-source tools, and knowledge sharing within the team and across the company.

The ideal candidate is an avid experimenter in ML, LLMs, and agent systems who stays current with the latest AI literature, tools, and techniques and knows how to apply them to practical solutions.