Senior Data Scientist, Inventory 360 (Operations Research)

DICK'S Sporting Goods, Inc.

Job Overview

Location

Remote - US

Job Type

Full-time

Full Job Description

📋 Description

• Develop machine learning and operations research models to optimize demand forecasting, assortment planning, purchase order allocation, and price optimization for a $12B+ retail enterprise with 800+ physical stores.
• Apply advanced operations research techniques including mixed-integer programming, dynamic programming, graph theory, spatial optimization, and simulation to solve real-time inventory and fulfillment decision problems.
• Integrate predictive machine learning models with optimization solvers to create hybrid decision frameworks that enable scenario-aware policy simulation and adaptive decisioning.
• Build and operationalize enterprise-grade decision engines that automate fulfillment logic across merchandising, inventory planning, and pricing systems.
• Collaborate with engineering teams to deploy models into production using real-time data pipelines, cloud infrastructure (AWS, Azure, or GCP), and observability tools for scalability and reliability.
• Ensure all models are interpretable, auditable, and aligned with business constraints, operational policies, and regulatory requirements.
• Design and implement streaming data architectures to support low-latency inference and real-time optimization for dynamic inventory decisions.
• Partner with product and operations leaders to define decision boundaries, success metrics, and business constraints for data science initiatives.
• Conduct A/B tests and switchback experiments to validate the impact of optimization models on operational performance and customer experience.
• Communicate complex technical insights, model performance, and trade-offs to both technical and non-technical stakeholders across merchandising, supply chain, and executive teams.
• Stay current with advancements in operations research, AI, and machine learning to inform enterprise roadmaps and maintain best-in-class merchandising and inventory optimization capabilities.
• Leverage Python, PyTorch/TensorFlow, scikit-learn, SQL, Spark, and Airflow to develop, test, and deploy data science solutions at scale.
• Utilize graph algorithms and path planning techniques to optimize spatial routing and warehouse pick paths for fulfillment efficiency.
• Work within an Agile environment using project management tools such as Jira or Azure DevOps to deliver iterative improvements to inventory decision systems.
• Apply causal inference and experimentation design principles to evaluate the impact of operational changes driven by data science models.
• Maintain a collaborative, problem-solving mindset focused on delivery, continuous learning, and cross-functional alignment.
• Support the development of reinforcement learning or contextual bandit approaches for adaptive decisioning in evolving retail environments.
• Contribute to the design and implementation of hybrid ML-OR frameworks that combine predictive analytics with mathematical optimization for inventory 360 systems.
• Bring experience with eCommerce, retail, or customer-facing fulfillment systems to enhance the relevance and impact of modeling efforts.

🎯 Requirements

• Advanced degree (MS/PhD) in Operations Research, Computer Science, Statistics, or related field
• 4+ years of experience building optimization and ML models in assortment planning, fulfillment, or supply chain domains
• Proficiency in operations research techniques: linear/mixed-integer programming, simulation, queuing theory
• Expertise in Python, PyTorch/TensorFlow, scikit-learn, SQL, Spark, Airflow, and cloud platforms (AWS, Azure, GCP)
• Experience with real-time decisioning systems and streaming data architectures
• Familiarity with reinforcement learning, contextual bandits, or hybrid ML-OR frameworks

🏖️ Benefits

• Competitive total rewards package including incentive and equity components
• Generous suite of benefits including paid leave and health coverage
• Opportunity to work on enterprise-scale AI systems impacting $12B+ revenue and 800+ stores
• Remote work arrangement with US-wide eligibility

Skills & Technologies

Python

AWS

Azure

GCP

TensorFlow

Data Science

Senior

Remote

Degree Required

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

DICK'S Sporting Goods, Inc.

Visit Website

About DICK'S Sporting Goods, Inc.

DICK'S Sporting Goods, Inc. is a leading U.S. omni-channel retailer of sporting goods, athletic apparel, footwear, and outdoor equipment. Founded in 1948 and headquartered in Coraopolis, Pennsylvania, the company operates more than 700 stores under the DICK'S Sporting Goods, Golf Galaxy, Field & Stream, and Public Lands banners, alongside e-commerce sites. It serves athletes and outdoor enthusiasts by offering products for team sports, fitness, hunting, camping, and golf, supported by in-store services such as equipment fitting and repair.

View Company Profile

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.