Senior Data Science Lead - Modeling & Visualization

Walmart; Sunnyvale (CA); On-site; USD 143,000 - 286,000; Full time

Job summary

Walmart is seeking an analytics-driven professional to lead model evaluation, tuning, and validation across multi-stage models and ensembles. You will apply best practice techniques for measuring accuracy, fit, validity, and robustness while collaborating with UX/UI teams to craft compelling data visuals.

The role emphasizes transforming business needs into actionable analytics projects, mentoring junior staff, and presenting clear insights to diverse stakeholders within a fast-paced retail

Qualifications

• Required minimum qualifications include a degree in Statistics, Economics, Analytics, Mathematics, CS, IT or related field with 5 years in analytics.
• Masters degree with 3 years experience or 7 years in analytics is also acceptable.
• Advanced knowledge of analytics, modeling, and data-driven decision making.

Responsibilities

• Lead model assessment, tuning, validation, and deployment for complex analytics systems.
• Develop data visualizations and dashboards to communicate model results to stakeholders.
• Mentor team members on story types, structures, and techniques for effective storytelling.

Skills

Data science

Machine learning

Optimization models

Python

Spark

Scala

R

Scikit-learn

TensorFlow

Torch

Tableau

Power BI

Supervisory experience

Education

Bachelor's degree in Statistics/Analytics/CS

Master's degree in Statistics/Analytics/CS

PhD in ML/OR/CS

Tools

Python

Spark

Scala

R

scikit-learn

TensorFlow

Torch

Tableau

Power BI

Job description

Walmart is seeking an analytics-driven professional to lead model evaluation, tuning, and validation across multi-stage models and ensembles. You will apply best practice techniques for measuring accuracy, fit, validity, and robustness while collaborating with UX/UI teams to craft compelling data visuals.

The role emphasizes transforming business needs into actionable analytics projects, mentoring junior staff, and presenting clear insights to diverse stakeholders within a fast-paced retail