Senior, Data Scientist | NLP/CV | Market Intelligence Team (Sunnyvale/Bellevue)

Position SummaryWalmart Global Tech is looking to hire a Senior Data Scientist for our Sunnyvale/Bellevue location. You would be working on challenging problems leveraging Machine Learning and Deep Learning Techniques to generate tangible and immediate business impact. As a Senior Data Scientist for Walmart Labs, you'll be required to shape and deliver on the MINT data sciences charter.Are you a technically strong and high performing individual with experience in machine learning and deep learning, excellent communication skills, proven analytical skills and strong customer focus? Do you stay updated with latest research and technology ideas and have a passion to utilize innovative ways to solve problems? Are you a good storyteller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders?About Team: Market Intelligence (MINT)The Market Intelligence (MINT) team at Walmart Labs delivers on the promise of EDLP (Every Day Low Prices) to our customers. It is focused on generating actionable insights for pricing, assortment, and marketing optimization for stores and e-commerce business across geographies leveraging market intelligence. Our systems are built leveraging cutting edge open-source technologies.What You'll DoAnalytical Modeling: Feature relevance and selection. Exploratory data analysis methods and techniques. Advanced statistical methods and best-practice advanced modelling techniques (e.g., graphical models, Bayesian inference, NLP, Computer Vision, neural networks, SVM, Random Forest etc.)Deep Learning: Experience in fine tuning Large Language Models and Vision Models. Experience with model compression methods like distillation and quantization and related inference optimizations methods.Model Assessment & Validation: Model fit testing, tuning, and validation techniques (e.g., Chi square, ROC curve, root mean square error etc.). Impact of variables and features on model performance.Model Deployment & Scaling: Understanding of servers, model formats to store models.Data Visualization: Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding.What You'll BringMaster's Degree with > 4+ years of relevant experience OR PhD with > 2+ years of relevant experience in Computer Science, Statistics, Information Technology, Operations Research, or a related fieldProficiency in Python.Hands-on experience in Large Language Models, Generative AI, NLP, Machine Learning and Deep Learning techniques.Experience in open-source frameworks and packages like scikit-learn, Numpy, Pandas, matplotlib, and Pytorch/Tensorflow.Knowledge of experimental design and A/B testing.About Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow.Flexible, Hybrid WorkWe use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.BenefitsBeyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity EmployerWalmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.Minimum QualificationsOutlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.Option 3 - 5 years' experience in an analytics or related field.Preferred QualificationsOutlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R.Using open source frameworks (for example, scikit learn, tensorflow, torch).We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.Primary Location860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America

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