Data Scientist

1 week ago

Hyderabad, India Costco IT Full time
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.

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.

Position Title: Data Scientist 4
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: 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.
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: 12+ - years of experience
~ Deep expertise in data science, ML, and AI, including advanced techniques such as deep learning, NLP, and generative models.
~ Significant experience in designing and implementing complex data science systems at scale: Lead the architecture and deployment of large-scale ML/AI solutions on GCP.
~ Build, mentor and influence high-performing data science teams.
~ Translate business challenges into data-driven solutions and drive organizational impact.
~ Advocate for data science initiatives, influence executive decisions, and represent the organization through conferences, publications, and industry engagement

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Deep expertise in ML, AI, and advanced analytics (e.g. deep learning, NLP, generative models)
Experience building, deploying large-scale ML solutions on GCP
Strong leadership and team mentoring in data science
Experience with retail and supply chain domain knowledge
Hands on experience with Python, Spark, SQL, GitHub, Google Cloud Platform, Vertex AI, Kubeflow, TensorFlow

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