Machine Learning Engineer

Walmart eCommerce

Position Summary

Join our Walmart Canada Big Data team to drive innovation and personalization by leveraging site analytics, customer behavior, order management, and A/B test tracking across desktop, mobile, and app. Develop models and predictive analysis to improve the customer experience, encourage return visits, and increase order frequency and size.

@WalmartLabs is the idea incubator inside the world's largest global retailer. We are developing products that rethink the customer experience and impact billions of transactions. Our agile team of engineers, scientists, and product managers work together to envision, prototype, and build extraordinary products. Every day is an opportunity to reshape the eCommerce landscape while having a lasting impact on the industry.

With over 3,000 associates in Silicon Valley, San Diego, Portland, Brazil, United Kingdom and India, we're bringing together some of the best professionals from around the world. If you're inspired by the opportunity to solve complex problems at scale and make a difference for our customers and members, join us. Division Summary

@WalmartLabs is the technical powerhouse behind Walmart Global eCommerce. We employ big data at scale — from machine learning, data mining and optimization algorithms, to modeling and analyzing massive flows of data from online, social, mobile and offline commerce. We don’t just engineer cool websites, mobile apps, and new services; we use our own open source tools to create the framework. Deployment is automated and accelerated through our open cloud platform. This makes us incredibly nimble and able to adjust in real-time to our global customers. Department Summary

The @WalmartLabs Markets team delivers the product roadmap and engineering capabilities across every device for our international businesses in the UK and Canada, as well as our Sam’s Club business in the US. In addition, this team also drives the technology strategy and operational excellence across @WalmartLabs. Position Description

Develops Innovation strategies, processes, and best practices

Drives the execution of multiple business plans and projects

Ensures business needs are being met

Leads and participates in medium- to large-scale, complex, cross-functional projects

Leads the discovery phase of medium to large projects to come up with high level design

Leads the work of other small groups of six to ten engineers, including offshore associates, for assigned Engineering projects

Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity

Provides supervision and development opportunities for associates

Supports business objectives

Troubleshoots business and production issues

Utilizes industry research to improve Wal-Mart's technology environment

#LI-TN1 Minimum Qualifications

BS/MS in Computer Science/ Electrical Engineering or a related technical field with 2+ years of experience in Machine Learning and Data science

5+ years of proficiency in OO programming (Java, Scala or Python preferred) and data modeling.

3+ years of Strong development skills around Hadoop, Hive, Pig, Map Reduce, Spark and/or R

Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data;

In depth knowledge of SQL and database technologies Hive, MySQL, Oracle, and/or Cassandra

Strong aptitude for writing efficient code

Attitude to thrive in a fun, fast-paced start-up like environment Additional Preferred Qualifications

Strong development experience building scalable, low-latency web services

Prior experience in eCommerce, machine learning, or artificial intelligence

Functional programming experience in Scala Req ID:
731100BR Company Summary

Walmart Global eCommerce is comprised of Walmart.com, VUDU, SamsClub.com, and our technical powerhouse @WalmartLabs. Here, innovators incubate next gen e-commerce solutions in real-time. We integrate online, physical, and mobile shopping experiences for billions of customers around the globe. How do we do it? We continuously build and invest in new technology including open source tools and big data innovations. Data scientists, front and back-end engineers, product managers, and web and UX/UI teams collaborate alongside e-commerce experts to envision, prototype, and bring revolutionary ideas to life in a dynamic, flexible and fun work culture.

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