DICK'S Sporting Goods · 1 month 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 believes in the positive impact of sports on lives and is looking for a Senior Data Scientist to lead the development of intelligent decisioning systems. This role focuses on modeling customer intent and identity resolution using advanced machine learning techniques to enhance customer experiences across digital commerce.
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
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 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
Machine Learning: e.g. deep learning, sequence models and transformers, recommender systems
Simulation and Mathematical Programming: e.g. MIP, agent simulation, LP etc
Causal Inference: e.g. Treatment effect estimation, counterfactual reasoning etc
Experience building real-time recommendation systems that adapt to evolving customer behavior and context, using session-based modeling, embeddings, and reinforcement learning
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 enterprise orchestration layers, integrating models into backend systems that power search, fulfillment, customer support, and personalization
Skilled in designing and analyzing A/B tests
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
Prior work in eCommerce, retail, or customer identity resolution
Experience with synthetic data generation or simulation frameworks for intent modeling
Knowledge of optimization modeling (decision trees, bandits, reinforcement learning for personalization)
Benefits
Incentive
Equity
Benefits
Paid leave
Generous suite of 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