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Data Scientist 3 - Vertex AI [T500-29963]

  • Source: LinkedIn
  • Costco IT
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

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 3

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 modelling, 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:

  • 10+ - 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, Kera’s, 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.

Skills

  • vertex
  • d3
  • google-cloud-platform
  • elearning-lms
  • pyspark
  • Python
  • Tensorflow
  • PyTorch
  • Scikit-learn
  • xgboost
  • ml-flow
  • power-bi
  • microsoft-azure
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