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Data Scientist


Sunnyvale, CA 94086
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826129BRReq ID:826129BRCompany Summary:Walmart Global eCommerce is comprised of, VUDU,, 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.Job Title:Data ScientistPosition Summary:The Social Advertising team @WalmartLabs builds and owns automated advertising platforms which serve display and product ads on the open web and social media sites like Facebook, Twitter, Pinterest, and Snapchat. The team is a major contributor of new customers acquisitions to Walmart as well as revenue & visits to Walmart. We analyze and model terabytes of offline and online purchases, search and browse datasets to deliver a personalized ad to customers and visitors across the web.

As a principal engineer in the team, you will have opportunities to influence the technical roadmap and work with other engineers on different aspects of the system such as personalized recommendations and targeting, conversion modeling, bid optimization, lifetime value optimization, look-alike modeling etc. As part of the team, you will have the opportunity to work hands on large scale real-time machine learning models using state of the art technologies including NoSQL, Apache Spark, and Kafka. The algorithms you develop will be used for personalized remarketing for users as well as driving completely new visitors and customers to Walmart. If you speak and think machine learning, then we want to talk to you. Come join our team and be part of this exciting journey.City:SUNNYVALEState:CAPosition 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: Ph.D. in computer science or similar field or MS with 2+ years of related experience

Deep knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field.

Good functional coding skills in C++, Java, Scala in addition to good knowledge of one of the scripting languages such as Python or Perl.

Experience working with large data sets and distributed computing tools a plus (Map/Reduce, Hadoop, Hive, Spark etc.)

Superior ability to analyze and interpret the results of product experiments.

Proven experience working with statistical languages such as R.

Strong communication skills both written and verbalAdditional Preferred Qualifications: Knowledge of Spark, Scikit-learn, Problem solving, Willing to learn new technologies.

Self-starter, Quick learner, Keen observer, eye for detail and someone who relishes challenges

Strong research and publication recordCategory:Data Science / Machine Learning Division:Walmart LabsDivision 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 dont 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.Employment Type:Full TimeRequisition Template:eCommerce
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