Are you a hardcore numbers person who would enjoy solving some of business’ toughest challenges by illuminating phenomena and opportunity held within one of the world’s largest data sets?

As a Staff Data Scientist at Walmart, the mammoth scale and volume of our global data is virtually limitless. You will create insights that influence how we make decisions that have impact at an unprecedented scale.

About Us:

The Marketing and Advertising Data Science Team is dedicated to incubating and developing data-driven, ML/AI solutions that help Walmart, suppliers, and sellers connect with customers through marketing and advertising to drive business objectives. For the buyer side (marketing), the focus is on bringing in high quality traffic to the site at lowest cost by optimizing paid campaigns and improving organic ranking on search engines, as well as retaining and expanding our loyal customer base via personalized messaging. For the seller side (advertising), the focus is on expanding advertising opportunities and improving advertisers' experience via enhanced ads relevance, accurate forecasting, and better lift measurements.We are seeking a talented individual with expertise in generative AI, large language models and deep learning to elevate our AI initiatives for marketing and advertising.The ideal candidate will demonstrate a profound mastery of state-of-the-art GEN AI and LLM technologies, adept at translating innovative concepts into impactful business applications in search engine optimization for marketing.

What you will do:

• Building advanced machine learning and deep learning models with various applications in marketing, such as creation and improvement of page attributes, page meta title, description, and linkage recommendation.

• Processing complicated and large-scale datasets using distributed computing platform, extracting insights from data, and optimizing business metrics.

• Develop visuals and reports that succinctly convey model outcomes, benefits,and insights to business stakeholders.

• Collaborate with engineering teams to seamlessly transition AI innovations into scalable and reliable operational solutions.

• Maintain world-class academic credentials through patent applications, publications, conference presentations, and external collaboration and service to the research community.

What you will bring:

• Expertise in working with deep-learning based generative models, LLM, natural language processing or similar research experience with deep-learning/AI.

• Expertise in large deep-learning model fine-tuning and deployment.

• Solid programming skills of Python and SQL, and familiar with challenges working with large volumes of data.

• PhD degree and 2 years of experience or Master's and 4 years of experience in computer science, statistics, data science, mathematics or other discipline (e.g., electrical engineering, economics) that exposes scientific methods of research and analysis;

• Strong academic and publication record is preferred (NeurIPS, ICML, EMNLP, ACL, ICLR, AAAI, IJCAI, CVPR, ICCV, ECCV, KDD etc.).

• Previous Industrial experience in recommendation systems, e-commerce, or relevant areas is preferred.