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Staff Data Scientist

Walmart


Location:
Sunnyvale, CA 94086
Date:
03/10/2018
2018-03-102018-04-27
Walmart
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Job Details

995221BRReq ID:995221BRCompany Summary:Walmart Global eCommerce is comprised of Walmart.com, VUDU, SamsClub.com, Walmart International 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. Our data scientists work on complex problems in the areas of Grocery personalization, Meal Planning, Search improvements using AI and Grocery delivery route optimizations,Job Title:Staff Data ScientistPosition Summary:Conceive and build novel recommendation algorithms for large Grocery baskets.

Build propensity models to predict when is the next time customers will be ordering consumables

Build models to provide recommendations based on customers nutritional and dietary needs

Use advanced optimization techniques to improve Grocery delivery for US and International Walmart customers

Help architect and build Walmarts semantic platformCity:SUNNYVALEState:CAPosition Description:



+ A Staff Data Scientist is responsible for analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions. Staff Data Scientists work on large project teams in order to provide analytical support and guidance to an assigned area on for large projects (for example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce. Staff 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. Staff Data Scientists are responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. Staff 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. Staff Data Scientists are the subject matter experts for statistical analysis and modeling for their project team.

+ 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:Proficient in Java or Python

Big Data knowledge - Hadoop, Pig, Hive, Spark

Mathematical, Statistics, operations research background preferred

Proven experience with building models working with big dataAdditional Preferred Qualifications:Please add textAI / Deep learning (Tensorflow, Keras, etc)

NLPCategory:Software Development and Engineering Division:WalmartEmployment Type:Full TimeRequisition Template:eCommerce
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