Research, design, and implement data models and cutting edge algorithms on high-dimensional, fast moving, unstructured and structured data, including problems ranging from optimizing business processes, such as automation of product data generation and audit, to deeply technical, such as query interpretation and entity extraction. Build continually learning systems that will have direct impact on business KPIs such as revenue and customer retention. Build smart data systems that ingest, model and analyze massive flow of data from online, social, mobile and offline commerce/user activity to understand user purchase behavior across millions of products and ad impressions in real time. Utilize cutting edge machine learning, data mining, and optimization algorithms underneath it all to analyze all this data. Build compelling data visualizations and interactive dashboards to showcase our work internally and externally. As a core member of the Growth Data Science team, working as a software engineer and an applied researcher is required. 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. Position Description
A Data Scientist is responsible for analyzing large data sets to develop custom models and algorithms to drive business solutions. Data Scientists work on project teams in order to provide analytical support to projects (for example, email targeting, business optimization, consumer recommendations) for Walmart eCommerce. Data Scientists are responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Data Scientists are responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. Data Scientists are responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned project.
Build complex data sets from multiple data sources, both internally and externally.
Build learning systems to analyze and filter continuous data flows and offline data analysis.
Combine data features to determine search models.
Conduct advanced statistical analysis to determine trends and significant data relationships.
Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans
Develop custom data models to drive innovative business solutions.
Develop models of current state in order to determine needed improvements.
Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity
Provides and supports the implementation of business solutions
Research new techniques and best practices within the industry.
Scale new algorithms to large data sets.
Train algorithms to apply models to new data sets.
Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog).
Validate models and algorithmic techniques.
Work with cross-functional partners across the business Minimum Qualifications
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740452BR 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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