▷ Urgent Data Scientist 4

3 weeks ago

Lal Bahadur Nagar, 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. 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. Position Title: Data Scientist 4 Job Description: Roles & Responsibilities: - 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. Technical Skills: - 12+ - years of experience - Mastery of relevant technical skills: 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. - Strong leadership and team management skills: Build, mentor and influence high-performing data science teams. - Excellent strategic thinking and problem-solving abilities: Translate business challenges into data-driven solutions and drive organizational impact. - Exceptional communication and influencing skills: Advocate for data science initiatives, influence executive decisions, and represent the organization through conferences, publications, and industry engagement . Must Have Skills: - 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 - Strategic mindset with ability to align technical work to business goals - 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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