Lead Data Scientist - Last Mile Delivery & Optimization

Walmart; Bentonville (AR); On-site; USD 90,000 - 180,000; Full time

Benefits offered by this job

Discount Card

Live Better U

Stock purchase

Paid time off

Job summary

Walmart in Bentonville, AR is seeking a Senior Data Scientist for Last Mile Delivery to identify and deploy data-driven solutions, validate data, and mentor peers. You will design predictive models, collaborate with cross-functional teams, and translate data into insights that drive business value.

The role emphasizes production-grade Python/SQL/PySpark development, data governance, and scalable implementation within a fast-paced logistics domain.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field with analytics experience.
• Experience in analytics and predictive modeling is required.
• Proficiency in Python, SQL, and R or similar tools.

Responsibilities

• Architect anomaly detection using time-series forecasting, clustering, or statistical limits.
• Automate root cause analysis with causal inference methods.
• Build prescriptive engines to recommend interventions (e.g., re-routing, incentives).
• Leverage forecasting to establish baselines and simulate impact of solutions.
• Scale data operations with production-grade Python, SQL, and PySpark for large datasets.
• Define the technical roadmap and advise leadership on modeling trade-offs.

Skills

Advanced statistics

Predictive modeling

Programming (Python, R, SQL)

Data visualization

Data sourcing & governance

Mentoring peers

Education

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field

Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field

3+ years of analytics experience in lieu of degree

Tools

Python

R

SQL

PySpark

Job description

Walmart in Bentonville, AR is seeking a Senior Data Scientist for Last Mile Delivery to identify and deploy data-driven solutions, validate data, and mentor peers. You will design predictive models, collaborate with cross-functional teams, and translate data into insights that drive business value.

The role emphasizes production-grade Python/SQL/PySpark development, data governance, and scalable implementation within a fast-paced logistics domain.