Lead Data Scientist

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