DICK'S Sporting Goods · 1 month ago
Senior Data Scientist - Operations Research, Decision Engine (REMOTE)
United States
Full-time
Remote
Mid, Senior Level
$83K/yr - $138K/yr
4+ years expDICK’S Sporting Goods is a leading sports retailer committed to creating an inclusive workforce. They are seeking a Senior Data Scientist to lead the development of intelligent decisioning systems that optimize fulfillment operations and enhance customer experiences, utilizing advanced modeling techniques in machine learning and operations research.
Consumer GoodsE-CommerceSporting GoodsSports
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
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
Use graph-based models and reinforcement learning to dynamically adjust pick paths and task sequences
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 fulfillment and athlete service solution
Qualification
Required
Bachelor's Degree or equivalent level preferred
Experience enables job holder to deal with the majority of situations and to advise others (Over 3 years to 6 years)
Basic experience of coordinating the work of others (4 to 6 months)
Preferred
Advanced degree (MS/PhD) in Operations Research, Computer Science, Statistics, or related field
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
Skilled in designing and analyzing A/B tests or switchback experiments for operational models
Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.)
Comfortable presenting results to cross functional partners and help them understand technical trade offs
Brings a collaborative, problem solving and growth mindset to all interactions with a strong focus on delivery
Experience with real-time decisioning systems and streaming data architectures
Familiarity with reinforcement learning or hybrid ML-OR frameworks
Background in eCommerce, retail, or customer-facing fulfillment systems
Strong understanding of experimentation design and causal inference
Benefits
Incentive
Equity
Benefits
Company
DICK'S Sporting Goods
Dick's Sporting Goods is an authentic full-line sporting goods retailer offering a broad assortment of brand name sporting goods equipment
10001+ employees
H1B Sponsorship
DICK'S Sporting Goods has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (17)
2024 (15)
2023 (13)
2022 (19)
2021 (14)
2020 (19)
Funding
Current Stage
Public CompanyTotal Funding
$3.5B2025-06-06Post Ipo Debt· $2B
2022-01-14Post Ipo Debt· $1.5B
2002-10-16IPO
Leadership Team
Edward W. Stack
Chief Executive Officer & Founder
Lauren Hobart
President and CEO; Member of Board of Directors
Recent News
2026-01-07
2026-01-07
2026-01-05
Company data provided by crunchbase