Senior Data Scientist

Walmart • Bentonville, AR

7d • $90,000 - $180,000 • Onsite

About The Position

The Senior Data Scientist applies statistical, machine learning, optimization, and programming techniques to analyze structured and complex datasets, develop customized analytical models, and deliver solutions and application features aligned with business and domain requirements. The role uses methods including graphical models, Bayesian inference, natural language processing, computer vision, neural networks, support vector machines, random forests, and supervised, unsupervised, and semi-supervised learning.

The position involves exploratory data analysis, statistical analysis, hypothesis testing, inference, feature development, experiment design, trend and cluster analysis, and model evaluation, tuning, and validation. The scientist selects evaluation metrics suited to model objectives and business requirements, assesses variable and feature impacts, and tests model accuracy, fit, validity, and robustness across multi-stage models and ensembles.

The role also supports production deployment and operational sustainability by applying knowledge of model performance drivers, server environments, and storage formats. It contributes to model evaluation, scalability, and long-term maintenance, and applies testing methodologies to ensure code quality, functionality, and security. The position is located at 811 Excellence Dr., Bentonville, Arkansas.

Requirements

• Master’s degree or equivalent in Computer Science, Statistics, Engineering (any), or a related field, plus 1 year of experience in analytics or a related field; or a bachelor’s degree or equivalent in one of those fields, plus 3 years of experience in analytics or a related field.
• Experience coding in object-oriented programming languages, specifically Python.
• Experience applying probability, hypothesis testing, and regression analysis.
• Experience applying supervised, unsupervised, and semi-supervised machine learning techniques, including linear and logistic regression, decision trees, support vector machines, and deep learning models using PyTorch, TensorFlow, and Keras.
• Experience building optimization models and solving them using integer programming or linear programming.
• Experience creating data visualizations using Seaborn and MATLAB plot.
• Experience writing SQL queries.
• Experience working with large datasets using languages such as PySpark.
• Experience running experiments scientifically and analyzing experiment results.

Responsibilities

• Select appropriate analytical modeling techniques for structured and complex datasets and develop customized analytical models.
• Conduct exploratory data analysis, including statistical analysis, hypothesis testing, and statistical inference.
• Define and refine features based on model performance, introducing new or revised features to improve analytical outcomes.
• Design experiments by identifying key dimensions, finalizing experimental design, testing hypotheses, and executing analyses.
• Perform trend and cluster analyses to address business problems and provide actionable insights and recommendations.
• Test, tune, and validate models using appropriate techniques and metrics, including chi-square tests, ROC curves, and root mean square error.
• Identify evaluation metrics based on model objectives and business requirements.
• Assess the impact of variables and features on model performance and evaluate model accuracy, fit, validity, and robustness across multi-stage models and ensembles.
• Support production deployment and contribute to making analytical models production-ready and operationally sustainable.
• Support model evaluation and the scalability and long-term maintenance of analytical solutions.
• Develop solutions and application features using programming languages and knowledge of business and domain requirements.
• Apply static testing, dynamic testing, software composition analysis, and manual penetration testing to ensure code quality, functionality, and security.

Benefits

• Medical, vision, and dental coverage.
• 401(k), stock purchase, and company-paid life insurance.
• Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
• Short-term and long-term disability.
• Education assistance, including 100% company-paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.
• Performance-based incentive awards, including annual or quarterly performance incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior