Costco Wholesale
Website:
costco.com
Job details:
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
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 and mentor 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 externally.
Must Have Skills:
- Deep expertise in ML, AI, and advanced analytics (e.g. deep learning, NLP)
- Experience deploying large-scale ML solutions on GCP
- Strong leadership and team mentoring in data science environments
- Strategic mindset with ability to align technical work to business goals
- 10 to 12+ years of hands-on experience building AI models for the Retail, CPG, or eCommerce industry.
- 8+ years’ experience in building and implementing business insights using AI / ML / Deep Learning at scale
- Proficiency in SQL, PySpark, Python, Machine Learning / Deep Learning,
- Proficiency in ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras, ML Flow
- Proficiency in ML/AI Services: Vertex AI (training, prediction, pipelines), AutoML, AI Platform
- Expertise with at least one data visualization tool, preference: PowerBI.
- Strong experience working in Cloud platforms viz., GCP, Azure
- Proficiency in working with diverse data types on cloud platforms.
Click on Apply to know more.
