Data Scientist

at Wal-Mart Associates, Inc. in Bentonville, Arkansas, United States

Job Description

Duties: Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes. Solves business issues. Understands the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable source for data. Maintains awareness of data quality. Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Selects the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Defines and finalizes features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identifies the dimensions of the experiment, finalizes the design, tests hypotheses, and conducts the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentors and guides junior associates on basic modeling and analytics techniques to solve complex problems. Supports efforts to ensure that analytical models and techniques used can be deployed into production. Supports evaluation of the analytical model. Supports the scalability and sustainability of analytical models. Writes code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Test the code using the recommended testing approach. Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. Supports model fit testing and statistical inferences to evaluate performance. Assesses the impact of variables and features on model performance. Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.


Minimum education and experience required: Bachelor’s degree or the equivalent in Statistics, Analytics, Computer Science, Engineering, or related field plus 2 years of experience in analytics or related experience; OR Master’s degree or the equivalent in Statistics, Analytics, Computer Science, Engineering, or related field; OR 4 years of experience in analytics or related experience.


Skills Required: Must have experience with big data analysis with advanced tools using statistics, data visualization, and simulation, include SQL, Alteryx, Tableau, R, and Python. Must have experience in model development, model validation and model implementation by using mathematical programming and optimization algorithms, including mixed integer linear programming, mixed integer nonlinear programming, multi-stage optimization, stochastic optimization, reliable optimization, Benders decomposition algorithm, column generation algorithm, column and constraint algorithm. Must have experience using combinatorial optimization techniques to solve large-scale industrial problems, including vehicle routing problem, scheduling problem. Must have experience in the following research areas: network optimization, supply chain management, facility location problems. Must have experience having publications in scholarly journals as first author. Must have experience using object-oriented programming languages, including Python, Java, and C++. Must have experience using Meta-heuristic algorithms to solve complex large-scale industrial problems, including simulated annealing algorithm and Tabu search algorithm. Must have relational database design and development by using SQL and PostgreSQL, and experience with SQL development including using complex queries, stored procedures, and user defined functions. Must have experience in applying machine learning algorithms, such as unsupervised clustering algorithm. Must have experience in using commercial optimization solvers, including CPLEX/Gurobi. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.

To apply for this position:  Send your resume to and reference the following Job ID number: R-802731

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Job Posting: 3101231

Posted On: Oct 22, 2021

Updated On: Nov 22, 2021