Senior Data Scientist (Machine Learning)

Location: 811 Excellence Dr., Bentonville, AR 72716, United States

Salary: $90,000–$180,000 per year

Company

hirify.global develops advertising and analytics solutions within Walmart's retail ecosystem.

What you will do

• Develop customized statistical, machine learning, NLP, transformer-based, computer vision, and anomaly-detection models for tariff calculation and business analytics.
• Perform exploratory data analysis, hypothesis testing, A/B testing, experimentation, trend analysis, cluster analysis, and statistical inference.
• Engineer and refine features, tune model parameters, select evaluation metrics, and validate model accuracy, fit, robustness, and performance.
• Design data models, establish unified data stores, and process large-scale data through scheduled Airflow pipelines.
• Deploy machine learning models to the cloud for real-time inference and batch processing.
• Build model monitoring frameworks for data drift and model drift, supporting production readiness, scalability, and long-term maintenance.

Requirements

• Master's degree or equivalent in Computer Science, Statistics, Engineering, or a related field plus 1 year of analytics experience; or bachelor's degree or equivalent plus 3 years of analytics experience.
• Experience developing machine learning, statistical, and transformer-based models for tariff calculation.
• Strong Python programming skills and experience with SQL, Java, or C++ in object-oriented development.
• Experience with NLP, unsupervised learning, network analysis, feature engineering, parameter tuning, and model deployment.
• Experience with Airflow, large-scale batch processing, cloud inference, model monitoring, Tableau, and Excel pivot tables and charts.
• Knowledge of model testing and validation, including ROC curves, chi-square tests, root mean square error, static testing, dynamic testing, software composition analysis, and manual penetration testing.

Culture & Benefits

• Full-time employment with hirify.global.
• Equal opportunity employer.
• Drug-free workplace with a zero-tolerance policy for illegal drugs and alcohol.