We are looking for an outstanding data scientist to join Supply Chain Analytics team at Global eCommerce. You will have the opportunity to dive into one of the largest ‘big data’ you can get your hands on and make a difference for more than a billion customers. You will develop innovative solutions to drive and build cutting edge technologies in big data, machine learning, real time data analytics, and predictive analytics to enable best business decisions by providing tools and actionable insights to business partners. You will also be responsible for researching new trends in the industry and utilizing new/innovative technology for continuous improvement of programs.
Develop models and algorithms and implement appropriate modeling techniques to drive innovation in supply chain analytics that enables business partners to answer complex business questions at ease
Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance
Partnering closely with cross-functional groups such as supply chain/operations, merchandising, site analytics, @labs technology teams to define and develop data modeling initiatives
Collaborate with engineers to implement and deploy scalable solutions
Build learning systems that monitor performance trend and build solutions to alert business partners for proactive actions
Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders
Provide guidance to cross-functional leadership regarding data modeling possibilities Division Summary
The Walmart.com team is here to provide amazing digital and physical experiences for our customers – with seamless access to products and services they want. Marketplace allows us to present an even wider array of vendor products on Walmart.com and beyond. Behind the scenes, e-commerce experts are focused on category growth, program management, business development, and seller onboarding. We continuously strive to deliver incredible selection, ease, and e-commerce innovation to customers. Position Description
The Data scientist is responsible for:
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.
Collaborate with cross-functional partners across the business.
Collaborate with project teams to implement data modeling solutions.
Combine data features to determine search models.
Conduct advanced statistical analysis to determine trends and significant data relationships.
Develop models of current state in order to determine improvements needed.
Develop multiple custom data models to drive innovative business solutions.
Drives the execution of multiple business plans and projects
Ensures business needs are being met
Interpret data to identify trends to go across future data sets.
Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity
Provides supervision and development opportunities for associates
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.
Translate business needs into data requirements.
Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog).
Validate models and algorithmic techniques Minimum Qualifications
MS or PhD in Engineering, Statistics, Mathematics, Computer Science or equivalent scientific degree
4+ years of post graduate experience in data analytics
Experience working with large data sets
Deep knowledge of statistics, machine learning, and optimization
Experience with R, Matlab, SQL and Python is required
Excellent written and verbal communication skills Req ID:
745069BR 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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