Senior Data Scientist / Data Engineer
This position is within Data Science Operations of Inkiru Anti-Fraud Analytics. You will be providing horizontal support to all Anti-Fraud Analytics Data Science verticals including Walmart.com, Walmart Store Returns, Scan&Go, WalmartPay and others.
You will make in impact by helping 40+ Inkiru Anti-Fraud Data Scientists to build/manage their data pipelines, arrange/structure large data volumes, build reporting to Inkiru business partners, while optimizing data pipelines efficiency and money spent.
You are going to be a key support in building Google Cloud based NextGen Inkiru Data Environment Architecture, while helping to manage Inkiru Data Science Google Cloud Environment, including Hadoop DataProc cluster, BigQuery and Google Cloud Storage infrastructures**.**
You also will be working with Inkiru Engineers to establish/maintain/optimize smooth near real-time data feeds between Inkiru Anti-Fraud Real Time Platform and Inkiru Google Cloud Environments.
What Wows Us
About Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.
Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important
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.
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)
640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America