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JOB BOARD

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Staff Data Scientist

Walmart Canada

Walmart Canada

Data Science
Bentonville, AR, USA
Posted on Nov 22, 2024

What you'll do...

Position: Staff Data Scientist

Job Location: 702 SW 8th St, Bentonville, AR 72716

Duties: Build complex data sets from multiple data sources, both internally and externally. Conduct advanced statistical analysis to determine trends and significant data relationships. Build learning systems to analyze and filter continuous data flows and offline data analysis. Train algorithms to apply models to new data sets. Validate models and algorithmic techniques. Scale new algorithms to large data sets. Combine data features to determine search models. Research new techniques and best practices within the industry. Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog). Develop multiple custom data models to drive innovative business solutions. Translate business needs into data requirements. Collaborate with cross-functional partners across the business. Interpret data to identify trends to go across future data sets. Collaborate with project teams to implement data modeling solutions. Develop models of current state to determine improvements needed. Responsible for analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions. Work on large project teams 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. Responsible for building large data sets from multiple sources to build algorithms for predicting future data characteristics. Responsible for testing, validating, and applying algorithms to large data sets. Responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. 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. Subject matter experts for statistical analysis and modeling for their project team. Drive the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning.

Minimum education and experience required: Master’s degree or the equivalent in Statistics, Analytics, or related field plus 3 years of experience in data science or related experience; OR Bachelor’s degree or the equivalent in Statistics, Analytics, or related field plus 5 years of experience in data science or related experience.

Skills required: Must have experience with: Translating and synthesizing complex business problem using business or statistical frameworks; Extracting data from various data sources, database systems using data extraction techniques; Making sense of data using mathematical equations or statistical exploratory data analysis (EDA) methods; Using visualization diagrams to identify patterns which further define analytical methodology; Identifying specific metrics which help solve business problem and derive necessary data; Coding in R or Python to perform data analysis; Applying analytical techniques to fit into mathematic equations to derive solutions; Testing the output of the statistical methods using test- train split or test vs control techniques; Communicating the final technical solution into easily understandable language for business stakeholders using PowerPoint; Maintaining the solution through continuous support and be a SME for the area; and Using ensemble techniques to improve accuracy of analytical solution. Employer will accept any amount of experience with the required skills.

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Wal-Mart is an Equal Opportunity Employer.