Staff, Data Scientist

Position: Staff Data Scientist 

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

Duties: Data Source Identification: To support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data. Data Strategy: To understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function. Model Assessment and Validation: Apply best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles. Data Visualization: To generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications. Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverages rational arguments. Understanding Business Context: To Provide recommendations to business stakeholders to solve complex business issues. Develop business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work. Tech. Problem Formulation: To translate/ co-own business problems within one's discipline to data related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and gives examples to demonstrate how the method would solve the business problem. Analytical Modeling: Select and develop variables and features iteratively based on model responses in collaboration with the business. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Identify dimensions and designs of experiments and create test and learn frameworks. Interpret data to identify trends to go across future data sets. Create continuous, online model learning along with iterative model enhancements. Develop newer techniques by leveraging the latest trends in machine learning, artificial intelligence to train algorithms to apply models to new data sets. Model Deployment and Scaling: To deploy models to production. Continuously log and track model behavior once it is deployed against the defined metrics. Identify model parameters which may need modifications depending on scale of deployment. Code Development and Testing: To write code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Create test cases to review and validate the proposed solution design. Create proofs of concept. Test the code using the appropriate testing approach. Deploy software to production servers. Contribute code documentation, maintain playbooks, and provide timely progress updates. 

Minimum education and experience required: Master’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years of experience in analytics or related experience; OR Bachelor’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years of experience in analytics or related experience; OR 6 years of experience in analytics or related experience. 

Skills Required: Must have experience with: Using SQL for managing & analyzing data; Studying campaign effectiveness by measuring experimental tests & reporting metrics like Incrementality, ROI, Lift, ROAS; Creating analytics dashboards & data visualizations using Tableau and Power BI; ETL Process (Extract, Transform and Load) and using Apache Spark for large-scale data processing; Providing data driven analytics support to marketing & campaign strategies; Data ingestion and extraction on cloud platform databases & environments; Performing descriptive data analytics & statistical modeling using Python, R Programming & Excel; Quantitative Analytical Techniques: Descriptive and Inferential Statistics, Regression & data mining on intricately detailed datasets; Developing and maintaining analytical & advanced Statistical Models using Machine Learning & Deep Learning techniques like Model assessment and validation performed using Model fit testing, tuning & validation for Model optimization; Paid & Owned channel Marketing analytics; Using statistical testing techniques like Hypothesis testing & A/B testing to design experimental tests to learn the impact of marketing tactic to help business leadership make decisions. Employer will accept any amount of experience with the required skills. 

Wal-Mart is an Equal Opportunity Employer. 

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