Data Scientist II
Core
Design, develop, and implement machine learning and AI solutions to support business objectives in the retail domain.
Role type
Mid-level IC data scientist (retail AI/ML)
Builds
End-to-end data and model pipelines integrating multiple data sources and systems
Domain
Retail, financial planning, omnichannel retail
Deliverable
production ML models
Required skills
Advanced machine learning, artificial intelligence, large-scale data engineering, end-to-end production ML pipelines, deep learning, computer vision, natural language processing, generative AI, reinforcement learning, federated learning, distributed processing workflows, mathematical and statistical methods
Preferred skills
Knowledge of financial planning and omnichannel retail applications of ML/AI, developing enterprise ML roadmaps, scalable AI capabilities
Technologies
Scalable computing tools and frameworks
Responsibilities
Design, develop, and implement machine learning and AI solutions; Build end-to-end data and model pipelines; Develop, test, and optimize ML algorithms and distributed processing workflows; Evaluate and adapt open-source and proprietary algorithms; Analyze and communicate model results to stakeholders; Collaborate with technical and business teams to align AI/ML solutions with goals; Improve model and pipeline performance; Support ongoing enhancement of enterprise ML/AI capabilities
