Principal Applied Scientist – Shopping

About the role

Microsoft Shopping is building next‑generation intelligent web analytics and user‑understanding experiences. As a Principal Applied Scientist you will tackle large‑scale behavioral data, machine learning, deep learning and large language models to improve conversion understanding, user profiling and commerce intelligence for millions of users worldwide.

Key responsibilities

• Discover insights from massive structured, semi‑structured and unstructured data sets and turn them into product features.
• Own end‑to‑end data science projects: problem definition, data preparation, model building, evaluation and deployment.
• Develop and deploy ML, DL and LLM‑based solutions for conversion understanding, identity linking and commerce intelligence.
• Partner with engineering and product teams to translate scientific innovations into scalable production systems.

Required profile

• Advanced degree (Master’s or PhD) in Statistics, Computer Science, Engineering or related field, or equivalent experience.
• 6+ years of experience in statistics, predictive analytics or research, with a strong understanding of ML/DL algorithms.
• Proven ability to work independently on ambiguous problems and drive data‑driven decisions.

Required skills

• Python programming
• Big‑data tools (Spark)
• ML frameworks (TensorFlow, Keras, PyTorch, Caffe)
• Large language models and AI agent techniques
• Cloud platforms (Azure, AWS, Google Cloud)
• Data visualization (PowerBI, Tableau)
• Database systems (SQL, NoSQL)