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.
PhD in computer science or similar field with 3+ years of 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
Experience in working as a tech lead
Blog posts, papers or conference talks showing your involvement in the communit
Familiarity with Deep Learning
Contributions to open source ML projects
About Walmart Labs
Imagine working in an environment where one experiment can catapult an entire industry toward a smarter future. That's what we do at Walmart Labs. We're a team of 5,000+ software engineers, data scientists, designers and product managers within Walmart, the world's largest retailer, delivering innovations that improve how our customers shop and our enterprise operates.
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Frequently asked questions
On average, it takes 10-15 minutes to complete our 1-page application.
No, you cannot change your application after submitting, so please make sure that everything is finalized before you hit the submit button.
Processing of information on paper is minimal, and Walmart processes application information using an applicant tracking system (ATS). Access to the data within the ATS is restricted to authorized personnel, and the system itself is held to high security standards by Walmart.
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