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.

About Team: 
Building the right technology foundation for Infrastructure & platforms is vital to success at the scale of Walmart. Our team builds and maintains the foundational technologies that support the tech organization. Included in this are data platforms, enterprise architecture, DevOps, cloud computing, and infrastructure. All of these products and services are supported by scalable and powerful infrastructure, ensuring a secure and seamless employee and customer experience across stores, digital channels, and distribution centers. 

What you'll do:

• Manage end-to-end engineering solutions for Machine Learning at scale.
• Integrate data science solutions into tangible products.
• Write efficient and quality code that can work @ Wal-Mart scale
• Productionize ML models – tackle all model management challenges.
• Parallelize algorithms/model training to make use of distributed infrastructure and reduce training time significantly.
• Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry.
• Research, learn & adapt new technologies to solve problems & improve existing solutions
• Participate in events to build innovative solutions
• Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from data at Walmart Scale
• Interact with data science groups across Walmart to understand their major engineering challenges, build and propose solution for them.
• Identify right open source tools to deliver product features by performing research, POC/Pilot and/or interacting with various open source forums
• Deploy and monitor products on Cloud platforms.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity

What you'll bring:

Competencies

• Bachelor's with 0-2 years of relevant experience
• Experience in Analyzing the Complex Problems and translate it into data science algorithms 
• Sound knowledge in several areas in core ML such as Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms.
• Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling 
• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data 
• Strong Experience with one or more of Python and R 
• Strong Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL, Scala) 
• Experience with Teradata, SQL and relational databases, data warehouse

Additional Preferred Qualifications:

• Domain Knowledge of one or more divisions in Retail 
• Published papers or given talks in leading academic and research journals 
• Published papers or given talks in Data Science Forums 
• Hold data science related patents 
• Experience with data warehouse platforms – No SQL Databases (Cassandra) 
• Experience with GPU/CUDA for computational efficiency

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  Flexible, hybrid work:
  We 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.