Data Scientist II at Snap Finance utilizing statistics and machine learning techniques

The role involves providing technical leadership to generate business insights, identify impactful recommendations, and communicate findings to clients, while also designing, constructing, and maintaining scalable data management systems like Databricks pipelines. Responsibilities include researching, building, and applying LLMs and NLP-based systems, and creating advanced statistical and machine-learning models to deliver specific business recommendations.

The Lead Data Scientist will manage a team developing and deploying advanced analytics and AI solutions focused on driving commercial growth, seller efficiency, and customer engagement across Sales, Marketing, and Digital channels. This leader is accountable for the full lifecycle of these AI/ML solutions, ensuring measurable business outcomes are delivered.

Executive Director leading advanced analytics and data science at BeOne