Walmart is looking to solve complex business issues by developing and deploying advanced analytics and machine learning models to drive business growth and improve decision-making.
Requirements
- Knowledge of model fit, testing, tuning, and validation techniques (e.g., Chi-square, ROC curve, root mean square error, etc.)
- Knowledge of visualization guidelines and best practices for complex data types; multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Plotly, Tableau, PowerBI, etc.)
- Knowledge of feature relevance and selection, exploratory data analysis methods and techniques, advanced statistical methods and best-practice advanced modelling techniques
- Knowledge of coding languages like SQL, Java, C, Python, and others; testing methods such as static, dynamic, software composition analysis, manual penetration testing, and others
- Knowledge of data science, machine learning, optimization models
- Knowledge of open source frameworks (for example, scikit learn, tensorflow, torch)
- Successful completion of one or more assessments in Python, Spark, Scala, or R
Responsibilities
- Model Assessment and Validation: Requires knowledge of model fit, testing, tuning, and validation techniques
- Data Visualization: Requires knowledge of visualization guidelines and best practices for complex data types
- Analytical Modeling: Requires knowledge of feature relevance and selection, exploratory data analysis methods and techniques
- Model Deployment and Scaling: Requires knowledge of impact of variables and features on model performance
- Code Development and Testing: Requires knowledge of coding languages like SQL, Java, C, Python, and others
- Tech Problem Formulation: Requires knowledge of analytics, big data analytics, automation techniques and methods
- Data Source Identification: Requires knowledge of functional business domain and scenarios, categories of data and where it is held
Other
- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field
- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field
- 7 years' experience in an analytics or related field
- Supervisory experience
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
