(USA) Senior, Data Scientist

Position SummaryBuild machine learning models for financial applications such as forecasting and anomaly detection. Develop methodologies to scale up the solution to handle millions of time series data simultaneously. Graduate degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or experience in an analytics related field.About The TeamOur team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.What You'll DoBig Data processing and feature engineeringTraining machine learning models through Cloud Services including Google Cloud Platform and Microsoft AzureTime series forecasting, anomaly detection, LLM tuning, using sound statistical and deep learning methodsDeployment of machine learning models to cloud platforms to serve internal customers at scaleWhat You'll BringHands on experience of designing and training large DL models on GPU farmDeep understanding of optimization theory, the inner working of neural network, attention architectureProven records of solving business problems using transformer based neural networksFamiliar with common DL packages such as Pytorch, Keras, TensorflowStrong software development skills in languages such as Python, SQL, R, Scala, JavaEconomic background is a plusGreat To HaveProblem solving mindset with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures.Ability to clearly define problems, models and constraints from informal and flexible business requirements.Teamwork spirit, quick adaptation to new environmentMinimum 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.Primary Location10790 Parkridge Dr. Suite 200, Reston, VA 20191, United States of America

#J-18808-Ljbffr