Senior Manager, Data Science

Position Summary

Model Development and Deployment Engineer responsible for building, validating, deploying and scaling machine learning models to support business decisions and operations.

Model Assessment and Validation:
Requires knowledge of model fit testing, tuning and validation techniques (e.g., Chi-square, ROC curve, root mean square error) and the impact of variables and features on model performance. Identify model evaluation metrics and apply best‑practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multistage models and model ensembles.

Data Visualization:
Requires knowledge of visualization guidelines and best practices for complex data types. Use multiple data visualization tools (Python, R, ggplot2, Matplotlib, Plotly, Tableau, Power BI) and advanced visualization techniques to create multiple‑story plots, data structures, and communication frameworks. Customize communication style based on stakeholder needs and guide junior associates on story types and techniques.

Understanding Business Context:
Apply industry and environmental knowledge, cross‑domain business vernacular, and relevant business metrics. Provide recommendations to stakeholders, develop business cases with ROI or cost‑savings projections, and translate requirements into projects aligned with overall strategy. Serve as an interpreter between business needs and tangible solutions.

Analytical Modeling:
Knowledge of feature relevance, selection, and exploration techniques. Apply advanced statistical methods and machine learning algorithms (graphical models, Bayesian inference, NLP, vision neural networks, SVM, Random Forest, etc.). Perform exploratory data analysis, design experiments, create test‑and‑learn frameworks, develop online model learning, and guide the team on feature engineering and advanced modeling techniques.

Model Deployment and Scaling:
Understand impact of variables on model performance, model formats, and server requirements. Deploy models to production, log and track model behavior, and identify parameters needing modification at scale.

Code Development and Testing:
Proficiency in Python, R, SQL, Java, C, and related languages. Write code, create test cases, develop proofs of concept, test using appropriate methods, deploy software, and maintain documentation.

Tech Problem Formulation:
Analyze business problems within discipline, identify root causes, recommend technology‑focused solutions, and define deliverables and key metrics.

Data Source Identification:
Understand functional business domains, data categories, database technologies (SQL, No

SQL, distributed data stores), data quality and governance. Prioritize requirements, identify suitable sources, perform quality checks, and guide junior associates.

Data Strategy:
Apply principles of data value, governance, and ecosystem management to unlock monetary value of data assets. Interpret strategy into moderately complex cross‑functional business problems.

Team Leadership & Culture:
Drive execution of multiple projects, remove barriers, set performance standards, conduct evaluations, and promote a belonging mindset. Supervise associates, develop talent, mentor, and recognize achievements.

Compliance & Ethics:
Promote company values, act with integrity, model Walmart values, support regenerative initiatives, and enforce non‑retaliation policies.

Customer & Member Focus:
Deliver business results by putting the customer/members first, adopt holistic perspective, and maintain a low‑cost mindset.

Excellence & Innovation:
Raise the bar, seek continuous improvement, foster learning culture, and encourage intelligent risk‑taking.

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years’ experience in analytics.
• Master’s degree in the same fields and 1 year’s experience, or 5 years’ experience in analytics or related field.

• Data science, machine learning, optimization models experience and PhD in Machine Learning, Computer Science, Operations Research, Statistics, Applied…