Walmart's Last Mile Delivery platform needs algorithmic improvements to enhance customer experience, driver performance, and reduce operational costs.
Requirements
- 6–8+ years of experience in operations research, data science, machine learning, and logistics or last mile optimization.
- Expertise in advanced ML techniques, optimization, and cloud platforms (e.g., GCP).
- Data science, machine learning, optimization models
- Using open source frameworks (for example, scikit learn, tensorflow, torch)
- Successful completion of one or more assessments in Python, Spark, Scala, or R
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
Responsibilities
- Own and lead end-to-end strategy, design, and optimization of Last Mile Delivery platform algorithms.
- Integrate cutting-edge technologies such as LLMs, Gen AI, and advanced ML techniques to improve routing efficiency.
- Lead technical design and execution of optimization models and tools that power LMD asset strategy
- Lead large-scale data analysis to identify opportunities for operational and business improvement.
- Ensure delivery of scalable, robust, and measurable solutions that impact key business outcomes.
- Apply mathematical optimization, LLMs, Gen AI, and advanced ML techniques to solve high-impact logistics challenges.
- Serve as the primary thought leader for algorithmic decisions affecting Last Mile logistics.
Other
- Proven leadership experience managing projects or teams in a technical environment.
- Strong business acumen combined with exceptional communication and stakeholder management skills.
- Drive alignment with cross-functional teams including engineering, product, and business leadership.
- Present complex technical insights to senior leadership in a clear, business-relevant way.
- Mentor and guide junior data scientists and team members.
