DICK'S Sporting Goods

Data Scientist

• Develop ML and OR-based models for demand forecasting, assortment planning, purchase order optimization, inventory allocation and price 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.
• Ensure robustness and scalability of models by leveraging containerized environments and observability tools
• Enable real time decisioning by building & incorporating streaming pipelines and supporting low latency inference and optimization.
• Partner with product and operations to define decision boundaries, constraints, and success metrics.
• Communicate insights and model performance to technical and nontechnical audiences.
• Understand latest research in the field of OR and AI to give inputs to enterprise roadmaps to ensure we are on the path to build Best in Class merchandising planning and optimization solution

Senior Data Scientist, Operations Research

Business Analyst

• Centralize reporting domains across relevant media network channels
• Collaborate with agency partners to access channel level reporting
• Integrate performance KPIs and benchmarks from both onsite and offsite channels to deliver a comprehensive campaign-level view
• Make strategic recommendations based on performance analysis and consumer insights
• Aid in educating brand partners about the health and performance of a given campaign by layering qualitative and quantitative learnings
• Translate KPIs and benchmarks into actionable insights to support strategic shifts in media plans mid-flight
• Conduct ad-hoc analysis by pulling data from multiple sources including historical performance, trends, and benchmarking
• Support the socialization of performance insights across the enterprise and with brand partners
• Report on performance of digital marketing tests for leadership and communicate through email/ presentations; disseminate insights internally in aggregate across vendors and campaign-specific reports
• Foster Partnerships with Platform and Agency partners
• Actively communicate and collaborate with third party marketing ad operations partner to successfully access relevant data
• Develop and nurture relationships with agency partners to refine reporting outputs for all relevant channels

Retail Media Reporting & Insights Analyst

Product Manager

• Define and drive a bold, future-oriented Loyalty & Membership strategy (including paid membership)
• Move beyond incremental improvements to deliver step-change innovation in customer value and business impact
• Build and continuously evolve a multi-horizon roadmap (Now / Next / Future) aligned to enterprise strategy
• Clearly articulate tradeoffs, investment rationale, and long-term value to executive leadership
• Design and lead a scaled discovery strategy across multiple product teams and domains
• Establish discovery as a continuous, measurable discipline —not a phase
• Own evolution of Scorecard into a modern loyalty + paid membership ecosystem
• Partner with Business to Define: Membership tiers, benefits, and pricing strategy
• Build deep partnerships with Business leaders (Marketing, Loyalty, Merchandising, Finance, Retail Media) to co-create strategy, not just align on it

Principal Product Manager – Loyalty

Supply Chain

• Lead the strategy, roadmap, and delivery of data products for supply chain
• Define multi-year product strategy and vision for supply chain data capabilities
• Establish and maintain data quality standards and governance frameworks
• Partner with Data Science, Engineering, Supply Chain to define requirements
• Establish KPIs to measure adoption and impact of supply chain data products
• Translate complex technical concepts into clear business value
• Manage vendor relationships and assess platform optimization opportunities

Senior Data Product Manager – Supply Chain

Full-stack Engineer

• Acts as a product-team problem solver and domain SME to design, test, and deliver best in class solutions
• Perform business/software analysis
• Coordinate work with moderate complexity within assigned product team
• Lead the development of complex iOS applications, focusing on SwiftUI, Swift Concurrency, and modern Apple frameworks
• Oversee monitoring and resolution of critical software defects within the product team
• Collaborate with cross-functional partners to conceptualize and design intuitive mobile experiences
• Evaluate and recommend innovative tools, frameworks, and concurrency models to enhance performance, reliability, and developer productivity
• Own and maintain the iOS technical roadmap, aligning development priorities with evolving product needs/business requirements

Lead Software Engineer – Mobile iOS

Data Analyst

• Work cross functionally with partners across business, technology and data organizations to design, evolve and execute A/B, and multivariate tests
• Responsible for developing methodologies, analytical processes and occasional reporting to unearth insights

Senior Analytics Specialist – Optimization

• Acts as the OMNI portfolio-level problem solver, focused on applying AI across engineering teams and product lifecycles.
• Help bring capabilities to life through AI-driven, spec-based engineering.
• Develop software that is fast, secure, and reliable.
• Lead a collaborative solution design process across product portfolios.
• Provide subject matter expertise and recommendations on complex or innovative technical developments.
• Develop medium- and long-term work schedules.

Principal Software Engineer – OMNI Technology

Project Manager

• Participate as a core team member in Next Gen Warehouse Management Initiative
• Oversee implementation across the supply chain
• Facilitate meetings for Change Management plan rollout
• Drive and evaluate new technologies and processes in the supply chain
• Build relationships with business stakeholders and support in legacy WMS releases

Senior Project Manager – Next Gen WM

Manager

• Lead operations in the Wisconsin district
• Drive district sales and financial results
• Identify opportunities through root cause analysis
• Analyze data and business trends
• Conduct weekly reviews of store metrics
• Collaborate with business partners in the field and corporate
• Build a strong, high-performing team
• Ensure proper onboarding and training of managers
• Demands high standards for self and others
• Responsible for consistent execution of Company merchandising and presentation standards
• Brainstorms community partnership opportunities

District Manager

Ecommerce

• responsible for leading and managing a specific Product for Dick’s Sporting Goods
• focuses on delivering customer value, driving sales, and business outcomes through continuous improvement and delivery of quality products
• work cross-functionally, communicate up and down the organization, and work closely with your developers, designers, and partners
• own the analytics and insights product strategy that enables data‑driven decision-making across the ecommerce customer journey
• partner closely with Ecommerce, Marketing, Merchandising, Growth, and Technology teams to optimize conversion, engagement, retention, and revenue
• serve as the product owner for analytics capabilities, with deep hands-on expertise in Adobe Customer Journey Analytics (CJA) and its integration with Adobe Experience Platform (AEP)

Product Manager II – eCommerce Analytics, Business Intelligence

• lead the Purchase Journey team within our eCommerce portfolio
• own the vision, strategy, roadmap, and execution for key buying experiences such as cart, checkout, order history, and lists
• collaborate across teams to deliver seamless digital experiences
• influence strategy, mentor product managers, and ensure exceptional customer experiences