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Principal Data Scientist

Walmart


Location:
Sunnyvale, CA 94086
Date:
02/01/2018
2018-02-012018-03-04
Walmart
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Job Details

962284BRReq ID:962284BRCompany 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.Job Title:Principal Data ScientistPosition Summary:This request is for a Principal Data Scientist to drive the strategy for comprehensive data flows' anomaly detection.



A Principal Data Scientist is responsible for collaborating with a business segment to determine long-term vision and provide analytical support and guidance. A Principal Data Scientist analyzes large data sets to develop multiple, complex custom models and algorithms to drive innovative business solutions. Principal Data Scientists work on large project teams in order to provide analytical support and guidance to a large project team (for example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce. The algorithms built

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.

Develop machine learning models to apply test data algorithms to future data.

Develop models of current state in order to determine improvements needed.

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.

Lead project teams to develop innovative solutions to drive innovative business solutions.

Lead the implementation of data modeling solutions.

Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity

Provide guidance to cross-functional leadership regarding data modeling possibilities.

Provides supervision and development opportunities for associates

Research new techniques and best practices within the industry.

Review business strategies to ensure alignment across initiatives.

Scale new algorithms to large data sets.

Train algorithms to apply models to new data sets.

Translate business needs into data modeling initiatives.

Utilize system tools including (Spark, Solr, Hadoop, Druid, sqlstream, MySQL, Weka, Python, R, Matlab,ILog).

Validate models and algorithmic techniques.City:SUNNYVALEState:CAPosition Description:This request is for a Principal Data Scientist to drive the strategy for comprehensive data flows' anomaly detection.



A Principal Data Scientist is responsible for collaborating with a business segment to determine long-term vision and provide analytical support and guidance. A Principal Data Scientist analyzes large data sets to develop multiple, complex custom models and algorithms to drive innovative business solutions. Principal Data Scientists work on large project teams in order to provide analytical support and guidance to a large project team (for example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce. The algorithms built

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.

Develop machine learning models to apply test data algorithms to future data.

Develop models of current state in order to determine improvements needed.

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.

Lead project teams to develop innovative solutions to drive innovative business solutions.

Lead the implementation of data modeling solutions.

Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity

Provide guidance to cross-functional leadership regarding data modeling possibilities.

Provides supervision and development opportunities for associates

Research new techniques and best practices within the industry.

Review business strategies to ensure alignment across initiatives.

Scale new algorithms to large data sets.

Train algorithms to apply models to new data sets.

Translate business needs into data modeling initiatives.

Utilize system tools including (Spark, Solr, Hadoop, Druid, sqlstream, MySQL, Weka, Python, R, Matlab,ILog).

Validate models and algorithmic techniques.Minimum Qualifications: PhD in computer science or similar field

5+ years Anomaly detection working experience

5+ years Data Quality working experience

Highly proficient in Python or Java

Extremely hands on in building Machine Learning products

Experience in building data products and crunching terabytes of data

A good portfolio of machine learning projects with a significant impact on the bottom line

Blog posts, papers or conference talks showing your involvement in the communityAdditional Preferred Qualifications: Familiarity with Deep Learning

Contributions to open source ML projectsCategory: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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