Senior Data Science Manager: ML Leadership & Visualization

Walmart; Herndon (VA); On-site; USD 132,000 - 286,000; Full time

Benefits offered by this job

Health benefits

401(k)

Stock purchase

Job summary

Walmart is seeking a Senior Manager, Data Science to leadML initiatives, validate models, and translate data into actionable insights for business impact. You will mentor teams, deploy scalable solutions, and collaborate across functions to align with strategic objectives.

The role emphasizes statistical methods, Python/SQL proficiency, and strong business context to improve ops efficiency and drive continuous improvement at scale.

Qualifications

• Extensive experience in data science and ML techniques including model assessment, validation, and tuning.
• Proficiency in Python and SQL for data analysis, model development, and deployment.
• Strong data visualization expertise to communicate insights.

Responsibilities

• Lead development, assessment, and validation of advanced analytical models.
• Design and implement data visualization solutions for stakeholders.
• Collaborate with cross-functional teams to translate requirements into scalable data science projects.
• Mentor team members on modeling techniques and data storytelling.
• Oversee model deployment, monitoring, and continuous improvement.
• Drive data source identification, quality assessment, and integration.

Skills

Data science

Python

SQL

Data visualization

Leadership

Model deployment

Statistics

Education

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

Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT or related field

7 years analytics experience

Tools

Python

SQL

ML frameworks

Job description

Walmart is seeking a Senior Manager, Data Science to leadML initiatives, validate models, and translate data into actionable insights for business impact. You will mentor teams, deploy scalable solutions, and collaborate across functions to align with strategic objectives.

The role emphasizes statistical methods, Python/SQL proficiency, and strong business context to improve ops efficiency and drive continuous improvement at scale.