Data Scientist

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

Job Description

Duties: Applied Business Acumen: 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. Data Source Identification: 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. Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Analytical Modelling: Selects the analytical modelling 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. Performs 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 modelling and analytics techniques to solve complex problems. Model Deployment & Scaling: 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. Code Development & Testing: Writes code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Tests the code using the recommended testing approach. Problem Formulation: 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. Model Assessment & Validation: Supports model fit testing and statistical inferences to evaluate performance. Assesses the impact of variables and features on model performance. Data Visualization: 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. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open-Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.


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


Skills Required: Experience with statistical programming languages (SAS, Python, R). Experience with Database Programming (SQL, stored procedures, database functions). Experience with statistical methodologies (RFM Segmentation, Linear Regression, Logistic Regression, Hypothesis Testing, A/B Testing). Experience with Dashboarding and Data Visualizations (Tableau, Python, R). Experience with supervised/unsupervised Machine Learning techniques. Experience with RDBMS databases (SQL Server, MS Access, SAS Datasets). Experience with MS Excel and MS PowerPoint. Experience in ETL to Extract, Transform and Load datasets using MS Access. Experience with big data/distributed computing (Pyspark, Hadoop). Experience with Time-series forecasting (ARIMA, Exponential Smoothing, Holt-Winters). Experience with Linux environment and version control techniques (Git). 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-800582

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Job Posting: 3101185

Posted On: Oct 22, 2021

Updated On: Nov 22, 2021