DICK'S Sporting Goods is looking to optimize fulfillment operations and drive exceptional customer experiences by developing intelligent decisioning systems. This involves solving complex optimization problems related to order routing, labor planning, queuing, and service layer optimization for customer support agents.
Requirements
- 4+ years of experience in building optimization and ML models in fulfillment, logistics, or supply chain domains.
- OR Techniques: linear/mixed-integer programming, simulation, queuing theory.
- ML Tools: Python, PyTorch/TensorFlow, scikit-learn.
- Data & Infra: SQL, Spark, Airflow, cloud platforms (Azure, AWS, GCP).
- Solid understanding of distributed systems, APIs, and cloud infrastructure (Azure, AWS, or GCP).
- Familiarity with reinforcement learning or contextual bandits for adaptive decisioning in dynamic environments.
- Familiarity with graph algorithms and path planning for spatial routing and pick path optimization.
Responsibilities
- Develop OR-based models for fulfillment routing, labor scheduling, and queuing, triaging & agent optimization.
- Apply techniques such as mixed-integer programming, dynamic programming, graph theory, spatial optimization and simulation to solve real-time decisioning problems.
- Integrate predictive ML models with optimization logic to enable adaptive, data-driven decisions.
- Build and operationalize decision engines that automate fulfillment decisions across the enterprise.
- Collaborate with engineering to deploy models into production systems with real-time data pipelines and monitoring.
- Ensure models are interpretable, auditable, and aligned with business constraints.
- Combine ML outputs with OR solvers via hybrid decision frameworks, enabling scenario-aware optimization and policy simulation.
Other
- Candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.
- Cameras must be on during all virtual interviews.
- Offers are contingent upon a satisfactory background check which may include ID verification.
- Brings a collaborative, problem solving and growth mindset to all interactions with a strong focus on delivery.
- Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.)