Senior, Data Scientist | Sunnyvale/Bellevue

at  Walmart

ABOUT WALMART GLOBAL TECH :

Imagine 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 expert’s 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. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

MINIMUM QUALIFICATIONS…

Outlined 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.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.

PREFERRED QUALIFICATIONS…

Outlined 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)

WHAT YOU’LL DO…

Walmart Golbal 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?

WHAT YOU’LL DO :

• Analytical 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 : Impact of variables and features on model performance. 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.