Data Science Lead - Predictive Modeling & Insights

VIZIO; Denver (CO); On-site; USD 121,000 - 242,000; Full time

Benefits offered by this job

Health benefits

401(k) and stock purchase

Paid time off

Job summary

Walmart in Denver, CO is seeking a Senior Manager, Data Science to lead advanced analytical initiatives, develop and deploy predictive models, and translate data into actionable business insights. The role requires collaboration across teams, mentoring, and continuous improvement of data science practices.

The team leverages experimentation, causal measurement, and visualization to guide product decisions and strategic investments.

Qualifications

• Extensive experience in data science, ML, and statistical modeling.
• Proficiency in Python, SQL, and data visualization tools.
• Strong ability to translate business requirements into data-driven solutions.

Responsibilities

• Lead development, assessment, and validation of advanced data science models.
• Design and implement data visualization solutions for stakeholders.
• Collaborate with cross-functional teams to translate business needs into projects.
• Mentor team members on modeling techniques, features, and experimentation.
• Oversee deployment and monitoring of models in production environments.
• Drive data source identification, quality assessment, and integration.
• Foster continuous improvement with emerging ML/AI methodologies.

Skills

Data science

Machine learning

Statistical modeling

Python

SQL

Data visualization

Model assessment

Experiment design

Leadership

Communication

Education

Bachelor's degree in Statistics/Analytics/CS

Master's degree in Statistics/Analytics/CS

PhD in related field

Tools

Matplotlib

Plotly

Tableau

PowerBI

Job description

Walmart in Denver, CO is seeking a Senior Manager, Data Science to lead advanced analytical initiatives, develop and deploy predictive models, and translate data into actionable business insights. The role requires collaboration across teams, mentoring, and continuous improvement of data science practices.

The team leverages experimentation, causal measurement, and visualization to guide product decisions and strategic investments.