Senior Data Scientist: Predictive Models & Data Strategy

Walmart Connect; Hoboken (NJ); On-site; USD 108,000 - 216,000; Full time

Benefits offered by this job

Health benefits

401(k)

Stock purchase program

Paid time off

Education benefit

Job summary

Walmart Connect is seeking a Senior Data Scientist in Hoboken, NJ to develop and deploy data-driven models that inform media investments and optimize partner outcomes.

You will source data, validate quality, build and validate advanced ML models, and translate business needs into scalable data solutions, all while mentoring teammates and ensuring model integrity across production environments.

Qualifications

• Bachelor’s degree or Master’s in a quantitative field with analytics experience.
• Experience with ML/analytics in production environments preferred.
• Strong data sourcing and data quality assessment capabilities.

Responsibilities

• Identify and source relevant data from multiple domains and databases.
• Conduct data quality assessments to ensure modeling readiness.
• Develop, test, and validate advanced statistical and ML models.
• Deploy scalable models into production with performance monitoring.
• Create clear visualizations to communicate insights to stakeholders.
• Translate business requirements into technical solutions.
• Mentor junior team members on modeling techniques.

Skills

Python

Data modeling

Statistics

Hypothesis testing

Data visualization

Production deployment

Problem solving

Communication

Exploratory data analysis

ML/AI

Education

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT or related

Master’s degree in Statistics, Economics, Analytics, or related

5+ years analytics experience

Tools

Python packages (scikit-learn, pandas)

Spark

SQL

Job description

Walmart Connect is seeking a Senior Data Scientist in Hoboken, NJ to develop and deploy data-driven models that inform media investments and optimize partner outcomes.

You will source data, validate quality, build and validate advanced ML models, and translate business needs into scalable data solutions, all while mentoring teammates and ensuring model integrity across production environments.