DICK'S Sporting Goods · 6 hours ago
Senior Data Scientist - Customer Intent, 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 enhancing lives through sports. They are seeking a Senior Data Scientist to lead the development of intelligent decisioning systems that model customer intent and resolve identity dynamically in real time, directly influencing personalization and customer experience.
Consumer GoodsE-CommerceSporting GoodsSports
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
Apply counterfactual evaluation techniques to measure causal impact of identity decisions
Translate technical insights into clear recommendations for product, marketing, and executive stakeholders
Partner with product managers to align decision engine outputs with business objectives (e.g., personalization, fraud prevention, customer support)
Communicate model performance to technical and non-technical audience
Ensure models are production-ready with robust monitoring, retraining schedules, and A/B testing frameworks
Implement feature stores and model registries to streamline experimentation and deployment
Qualification
Required
Deep expertise in AI, Machine Learning, and Data Science
Experience in traditional machine learning and cutting edge AI with a strong foundation in causal inference
Ability to design hybrid models that combine behavioral prediction with causal reasoning
Experience in solving complex decision problems using predictive analytics, causal modeling, simulation, and mathematical programming
Ability to influence the enterprise decisioning landscape by developing models that integrate with high-impact systems
Experience in collaborating with product, engineering, and business leaders
Ability to translate ambiguous customer journeys into solvable data science problems
Experience in defining rigorous evaluation metrics for identity resolution and causal models
Experience in leading online experimentation to validate model impact
Ability to communicate model performance to technical and non-technical audiences
Experience in ensuring models are production-ready with robust monitoring and retraining schedules
Experience in implementing feature stores and model registries
Preferred
Advanced degree (MS/PhD) in Computer Science, Statistics, Applied Mathematics or related field
4+ years of experience in data science, machine learning or AI with a track record delivering production systems
Strong proficiency in hybrid modeling techniques
Experience with deep learning, sequence models and transformers, recommender systems
Experience with simulation and mathematical programming techniques
Experience with causal inference techniques
Experience building real-time recommendation systems
Solid understanding of distributed systems, APIs, and cloud infrastructure (Azure, AWS, or GCP)
Familiarity with reinforcement learning or contextual bandits
Familiarity with enterprise orchestration layers
Skilled in designing and analyzing A/B tests
Experience in an Agile working environment and at least one related project management tool
Comfortable presenting results to cross functional partners
Prior work in eCommerce, retail, or customer identity resolution
Experience with synthetic data generation or simulation frameworks for intent modeling
Knowledge of optimization modeling techniques
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
Company data provided by crunchbase