Data Scientist III

What you'll do...

Position: Data Scientist III 

Job Location: 1701 W State Hwy 114, Grapevine, TX 76051 

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: Understand 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 Modeling: 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. 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. Test 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. 

Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years of experience in analytics or related experience. 

Skills required: Must have experience with: Object Oriented Programming, writing and unit testing code in Python, C/C++, C# and Version Control Softwares like Git; Designing, implementing, and deploying RESTful API web services and Frontend development in HTML, CSS and JavaScript/Typescript; Big Data and distributed computing like Hadoop, Spark/Databricks and Kubernetes; Working with relational and non-relational databases like SQL, Cosmos DB, Graph QL, Elastic Search and Kusto Query Language; Cloud computing like Azure/GCP, Docker, Kubernetes; Statistical and mathematical modelling using Linear Algebra, Calculus, Probability and Machine learning concepts like Regression, SVM, Tree Models, Unsupervised/ Semi-supervised Learning, Bayesian Methods etc.; Deep learning models like Convolutional Neural Networks, Reinforcement Learning, Adversarial Learning; and Deep Learning Frameworks (TensorFlow, Pytorch and Keras). Employer will accept any amount of experience with the required skills. 

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Wal-Mart is an Equal Opportunity Employer.