Appriss Retail

Data Scientist

• Own end-to-end delivery of high-impact data science projects from ambiguous business request to production-ready system
• Design and maintain data pipelines, data models, and governance standards
• Build, evaluate, and iterate on ML models in production
• Lead experimentation rigor, monitoring, and lifecycle management
• Architect and ship LLM-integrated features and agentic workflows, including prompt engineering, tool use, and output evaluation
• Guide cloud infrastructure architecture for data science projects with attention to performance, maintenance, and cost
• Write production-grade Python and SQL, enforce code review practices, and maintain documentation
• Partner with engineering to integrate models and pipelines into core product infrastructure
• Translate ambiguous business problems into scoped analytical and modeling work with defined success criteria
• Partner with product, engineering, and business stakeholders
• Contribute to the data and analytics roadmap
• Communicate technical findings and influence decisions with data and model outputs
• Lead a small data science team as a player-coach
• Set technical direction and mentor the team, with potential to grow into direct management
• Report to the Director of Data Science
• Travel up to 10% for training and conferences

Explore Staff Data Scientist, Technical Lead – Full-Stack, Production ML at Appriss Retail. Review requirements and application details.