Position Summary
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.
About the Team
Enterprise People Technology Team
The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Tech’s Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.
ALL Transform & Enable Analytics Team
The ALL Transform & Enable team is a highly motivated and collaborative group of individuals who are dedicated to leveraging data-driven insights to help our business and research partners achieve their objectives. As a data scientist on the team, you will play a critical role in conducting exploratory data analysis across various assessments and surveys, building reliable data pipelines, and developing predictive models to understand the mechanisms related to business-relevant outcomes such as attrition and engagement. You will also be responsible for training and testing models, building reports to share results with stakeholders, and taking instructions on how to best present information to various groups.
Join our team and make a meaningful impact on our organization's success. This position is strictly for a person who has strong exposure in handling data and can derive insights out of the mathematical/statistical/Machine Learning models. Incumbent should have a strong proficiency in R/Python, SQL and Power BI with a similar capability in terms of presenting/analysing the data.
What you'll do
- 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 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. 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 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. 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.
- 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.
What you'll bring
- Problem Formulation: Analytics, big data analytics, and/or automation techniques and methods. Business requirements and insights that the business is seeking.
- Applied Business Acumen: Industry and environmental factors (for example, market fluctuations, changes in regulatory policies or politics, emerging technology, cultural practices). Business practices across one domain such as finance, marketing, sales, technology, business systems, or human resources.
- Data Source Identification: Functional business domain and scenarios. Categories of data and where it is held. Business data requirements.
- Database technologies and distributed datastores (e.g. SQL, NoSQL).
- Analytical Modeling: Feature relevance and selection.
- Exploratory data analysis methods and techniques.
- Advanced statistical methods and best practices, advanced modelling techniques (e.g., graphical models, basic level of NLP, Vision, neural networks, SVM).