DICK'S Sporting Goods

SeniorDataScientist,Inventory360(OperationsResearch)

$0–0k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Scientist, Inventory 360 (Operations Research) at DICK'S Sporting Goods. Skills: Machine Learning, Operations Research, Optimization, Forecasting. Develop ML and OR-based models. Apply techniques to solve problems”

What You'll Achieve.

Optimize inventory flow and operations; Drive exceptional customer experiences; Optimize fulfillment operations; Elevate the customer experience; Influence delivery speed; Influence order accuracy; Influence service reliability

Industry & Context.

Problems you'll solve

Problem solving

Eligibility Requirements

Cameras must be on, AI tools not permitted, Satisfactory background check, ID verification

What They're Looking For.

Must Have

Bachelor's Degree or equivalent, 3 to 6 years experience

Nice to Have

Advanced degree (MS/PhD), 4+ years experience in building optimization and ML models, Familiarity with reinforcement learning, Familiarity with graph algorithms, Experience in an Agile working environment, Experience with real-time decisioning systems, Familiarity with hybrid ML-OR frameworks, Background in eCommerce, retail, or customer-facing fulfillment systems, Understanding of experimentation design, Understanding of causal inference

What You'll Do.

Develop ML and OR-based models

Apply techniques to solve problems

Integrate predictive ML models

Build and operationalize decision engines

Collaborate with engineering to deploy models

Ensure models are interpretable

Combine ML outputs with OR solvers

Ensure robustness and scalability of models

Enable real time decisioning

Partner with product and operations

Communicate insights and model performance

Understand latest research

How You'll Work.

Team & Collaboration

Product, engineering, and business leaders; Technical and nontechnical audiences; Cross functional partners

Communication Scope

Presenting results

Process & Methodology

Agile, Azure DevOps, Jira

Full Job Description

At **DICK’S Sporting Goods** , we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve. If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today! **OVERVIEW:** Are you a passionate technologist with experience in AI, Machine Learning, Operations Research and Data Science? Are you looking for an opportunity to drive enterprise impact and shape the future of a leading sports retailer with $12B+ in revenue and 800+ physical stores? Do you enjoy working with a highly skilled team of Machine Learning engineers & Scientists, co-creating enterprise grade AI capabilities? We are seeking a **Senior Data Scientist – Inventory 360** to lead the development of intelligent decisioning systems that optimize inventory flow and operations and drive exceptional customer experiences. This role sits at the intersection of machine learning, operations research, and enterprise systems — powering decisions that determine how, when, and where we fulfill customer demand. This role requires a subject matter expert with deep experience in traditional machine learning and cutting edge AI with a strong foundation in operations research. You’ll apply advanced modeling techniques to design intelligent decisioning systems that optimize fulfillment operations and elevate the customer experience. Your work will focus on solving complex foreacasting and optimization problems — from assortment planning to purchase order optimization to allocation —using a blend of predictive analytics, simulation, and mathematical programming. **JOB PURPOSE** As a senior data scientist, you’ll influence the enterprise decisioning landscape by developing models that integrate with high-impact systems across merchandising and

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