The role involves developing end-to-end analytic solutions by shaping data and algorithms to provide predictive and prescriptive insights. The individual will build scalable, production-ready data science solutions that utilize point-of-sale data. Collaboration with product managers, engineers, designers, and business stakeholders is required to translate complex problems into actionable insights. The position also entails conducting research to drive product-focused solutions and deploying neural networks for classification problems. Furthermore, the role includes mentoring junior team members and fostering knowledge exchange within the organization.

Candidates must hold a degree in computer science, data science, statistics, or a related field. A minimum of five years of experience in a data science role is required. Applicants must demonstrate expert knowledge in developing deep learning algorithms using PyTorch and have experience fine-tuning third-party Large Language Models. The role requires proven ability to deploy large-scale models into production environments and proficiency in Python. Additionally, strong communication and stakeholder management skills are necessary to align technical work with business objectives.