Walmart's core Last Mile Delivery platform algorithm needs optimization to directly impact customer experience, driver performance, and Walmart's cost structure. The job aims to leverage advanced AI and ML techniques to solve high-impact logistics challenges within this platform.
Requirements
- 6–8+ years of experience in computer science, 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)
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
- Successful completion of one or more assessments in Python, Spark, Scala, or R
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 AI systems that power LMD operational insights generation and decision support
- Develop LLM-driven agents capable of multi-turn, grounded, and context-aware interactions
- 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.
Other
- Serve as the primary thought leader for algorithmic decisions affecting Last Mile logistics.
- 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.
- Proven leadership experience managing projects or teams in a technical environment.
- Strong business acumen combined with exceptional communication and stakeholder management skills.
