DICK'S Sporting Goods is seeking to solve complex decision problems related to customer intent and identity resolution to deliver personalized experiences across search, fulfillment, and digital commerce.
Requirements
- Advanced degree (MS/PhD) in Computer Science, Statistics, Applied Mathematics or related field.
- Strong proficiency in hybrid modeling techniques.
- Machine Learning: e.g. deep learning, sequence models and transformers, recommender systems.
- Simulation and Mathematical Programming: e.g. MIP, agent simulation, LP etc.
- Causal Inference: e.g. Treatment effect estimation, counterfactual reasoning etc.
- Experience building real-time recommendation systems that adapt to evolving customer behavior and context, using session-based modeling, embeddings, and reinforcement learning.
- Solid understanding of distributed systems, APIs, and cloud infrastructure (Azure, AWS, or GCP).
Responsibilities
- Design and implement large-scale decision engines that dynamically resolve customer identity and intent in real time.
- Develop optimization frameworks (multi-armed bandits, reinforcement learning, constrained optimization) to balance personalization, business KPIs, and operational constraints.
- Build session-based and sequence-aware models (transformers, RNNs, temporal point processes) to capture evolving customer intent.
- Incorporate multimodal signals (clickstream, search queries, transaction history, CRM attributes) into unified intent prediction pipelines.
- Deploy models with low-latency inference for real-time decisioning at scale.
- Define rigorous evaluation metrics (precision/recall for identity resolution, uplift for causal models, latency for decision engines).
- Lead online experimentation (A/B tests, multi-cell experiments) to validate model impact on personalization, conversion, and customer experience.
Other
- Bachelor's Degree or equivalent level preferred
- General Experience: Experience enables job holder to deal with the majority of situations and to advise others (Over 3 years to 6 years)
- Managerial Experience: Basic experience of coordinating the work of others (4 to 6 months)
- Cameras must be on during all virtual interviews.
- AI tools are not permitted to be used by the candidate during any part of the interview process.
