Data Scientist 4 [T500-25046]

About Costco Wholesale: Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience for their members. About Costco Wholesale India: At Costco Wholesale India, we foster a collaborative space, working to support Costco Wholesale in developing innovative solutions that improve members’ experiences and make employees’ jobs easier. Our employees play a key role in driving and delivering innovation to establish IT as a core competitive advantage for Costco Wholesale.

: We are excited to announce an opening for Data Scientist 4 at Costco. Please find below the details of

and its

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: GCP, Deep Learning, NLP, Natural Learning Processing, Machine Learning, ML, AI, Artificial Intelligence, Data Science, Data Scientist Experience Range: 12 years Position Title: Data Scientist 4 Roles &

: Define the long-term vision and strategy for data science initiatives: Set the direction for the organization’s data science, ML, and AI efforts, including advanced analytics, predictive modeling, and AI-driven automation. Lead and mentor a team of data scientists: Provide technical guidance, and mentorship for team members. Identify and explore cutting-edge research areas and technologies: Stay abreast of the latest advancements in ML, AI, and data science, and evaluate their potential for the organization. Drive innovation and the development of novel data science solutions: Lead new technology exploration and experimentation efforts, prototype new approaches, and oversee implementation of advanced models. Collaborate with executive leadership on strategic decision-making: Align data science initiatives with business objectives and organizational priorities. Establish and enforce data science standards and best practices: Ensure quality, reproducibility, and ethical use of data and AI across the organization. Represent the organization in external data science communities: Speak at conferences, publish thought leadership, and build partnerships with academia and industry.