Staff, Data Scientist

Walmart Walmart · Retail · Bangalore, KA, India

Walmart's International Data Science team seeks a Staff Data Scientist to leverage ML, statistics, and optimization for business problems in global operations. The role involves consulting with stakeholders, leading complex ML product development, identifying opportunities for advanced ML and Generative AI, evaluating business cases, and translating requirements into actionable strategies. Responsibilities include setting deliverables, measuring impact, evaluating model metrics, and ensuring documentation. The role emphasizes a product mindset for scaling and deploying holistic data science solutions, utilizing an incremental approach, and driving innovation. Key technical areas include NLP, Deep Learning, Generative AI, Computer Vision, LLMs, VLMs, RAG, vector databases, and MLOps on Google Cloud Platform.

What you'd actually do

  1. Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
  2. Guides data scientists and senior data scientists across the domain DS team to ensure on-time delivery of ML products
  3. Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products.
  4. Proactive identification of complex business problems that can be solved using advanced ML and Generative AI, finding opportunities and gaps in the current business domain
  5. Evaluates proposed business cases for projects and initiatives

Skills

Required

  • Bachelor's with > 10 years /Masters > 8 years /Ph.D. in Comp Science/Statistics/Mathematics/Quantitative discipline with > 5 years of relevant experience.
  • Strong experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms, Generative AI models.
  • Experience in analyzing complex problems and translating them into analytical solutions.
  • Strong experience in Computer Vision, image processing, object detection, Deep learning. Exposure to image features, edge detection, blur, sharpness, corner detection, face detection, knowledge of how image data is represented.
  • Knowledge of Deep learning, CNNs, and components of CNNs, loss functions for classification, object detection, segmentation.
  • Experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Recommendation models, deep-learning, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation
  • Ability to utilize data science solutions outcomes to drive predictive and prescriptive analytics.
  • Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
  • Ability to scale and deploy data science solutions.
  • Experience in LLMs, VLMs, embedding generation from multimodal data, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.
  • Strong Experience in Python, PySpark, OpenCV, Python, C++, Keras, tensorflow, pytorch, big data platforms
  • Google Cloud platform, Vertex AI, model deployment, MLOPs

What the JD emphasized

  • Ability to lead data science projects end to end.
  • Ability to scale and deploy data science solutions.

Other signals

  • productize our solutions
  • deploy Machine Learning algorithms
  • build reference architectures and machine learning pipelines
  • productize our solutions
  • scale and deploy data science solutions
  • LLMs, VLMs, embedding generation from multimodal data, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.