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Principal Data Scientist
4 weeks ago
We are seeking a highly skilled Principal Data Scientist to join our E2E Data & Analytics team at Walmart. As a key member of our team, you will be responsible for developing and implementing cutting-edge Generative AI (GenAI) and Natural Language Processing (NLP) solutions to empower our business stakeholders across Customer Care, Supply Chain, Store Operation, and Last Mile Delivery.
Key Responsibilities- Formulate a strategy and roadmap for the development, implementation, and efficiency monitoring of NLP, ML, LLM, and GenAI models.
- Translate business problems into technical solutions, leveraging data and advanced NLP, ML, LLM, and GenAI methodologies.
- Lead the design, development, and deployment of GenAI and NLP models for business customers E2E.
- Collaborate closely with cross-functional teams, including data science, data governance, engineering, and product teams, to design, develop, and deploy AI/ML models into production environments with a focus on reliability and scalability.
- Uphold standards, governance, and best practices in AI/ML model development and compliance with model and data governance standards.
- Supervise a team of 3 to 5 top talents in NLP, ML, LLM, GenAI, and provide mentoring to foster their professional growth and development.
- Engage in effective communication with business stakeholders regarding insights, model outcomes, and the strategic importance of AI initiatives.
- Ph.D. (preferred), Bachelor's or Master's degree in Mathematics, Statistics, or Computer Science, Engineering, or a related field.
- 7+ years of professional hands-on experience leveraging large sets of structured and unstructured data for data-driven analytics and insights using ML, NLP, GenAI solutions.
- Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP) and Azure.
- Strong background in GenAI/NLP, machine learning, deep learning in the retail industry, particularly within retail operations.
- Experience in developing and optimizing RAG models to facilitate effective information retrieval and generation in conversational AI systems.
- Experience in applying GitOps and CI/CD principles into infrastructure automation.
- Proficiency or familiarity with RESTful APIs and their integration into various software environments.
- Strong full-stack data science skills.
- Strategic thinker with strong technical and business acumen and problem-solving skills.
- Strong communication and presentation skills with the ability to translate complex technical concepts to non-technical stakeholders.
- Experience mentoring junior machine learning scientists.
