Data Scientist - Digital Data Science - Hybrid - Seattle, WA

Nordstrom is a specialty retailer offering the very best in fashion and customer service since 1901. They are seeking a Data Scientist I to join their Digital Data Science team, focusing on building AI/ML-powered products that enhance the digital customer experience. The role involves collaborating with cross-functional teams to develop machine learning models and drive data-informed product features.ResponsibilitiesCollaborate with product, engineering, and cross-functional partner teams to build and improve ML-powered digital products such as personalization, recommendation, conversational search, and fraud detection systemsDesign, train, fine-tune, and evaluate deep learning models, including transformer-based architectures, for applications such as recommendation, ranking, natural language understanding, and anomaly detectionExtract and prepare large sets of data for analysis; improve existing data resources by building data pipelines using AWS/GCP tools and other cloud servicesSupport senior data scientists on model deployment, contributing to prototyping, training, testing, and monitoring, while learning production serving best practicesWork within and across teams to develop and deploy data products and data-driven software, driving collaboration and adoption on major data-science initiativesSupport A/B testing and post-launch analysis to measure model impact, help diagnose why models are or are not working, and contribute to data-informed iteration on product featuresHelp develop and drive adoption of best practices in all aspects of the Data Science workflow, including intake, design, code review, testing, automation, documentation, reporting, and long-term maintainabilityActively learn from senior data scientists and analysts, growing in both technical skills and business acumen while contributing fresh perspectives to the teamSkills1–3 years of hands-on professional experience in Data Science, Analytics, or a related quantitative field (including internships or research positions)1+ years of working experience with Python or R, including data manipulation, analysis, and visualizationExperience working in a highly collaborative technical environment (e.g., code sharing, using revision control, contributing to team discussions/workshops, and document sharing)1+ years of working experience with machine learning and deep learning algorithms, including familiarity with transformer architectures and modern neural networks (e.g., attention mechanisms, embeddings, fine-tuning pre-trained models, as well as classical methods such as gradient boosting, collaborative filtering, etc.)1+ years of working experience extracting and manipulating data using SQL; exposure to big-data tools such as Hive or Spark is a plusExposure to ML model deployment workflows and A/B testing concepts; eagerness to learn production ML practicesPassion and aptitude for turning complex business problems into concrete hypotheses that can be answered through rigorous data analysis and experimentationAbility to communicate analytical findings clearly to technical and non-technical audiencesExperience contributing to data science projects in a team setting (academic, internship, or professional)Experience developing packages in Python along with clear documentationExposure to ML model serving or deployment tools (e.g., SageMaker, AzureML, Docker, Flask) through coursework, personal projects, or internshipsExperience developing and deploying automated data pipelines using cloud services (e.g. AWS/GCP)Strong background in model explainability, interpretability, and diagnostics—ability to systematically analyze and articulate why a model is or is not performing as expectedExperience with causal inference and experimentation frameworks, including designing and analyzing online experiments to measure incremental model impactFamiliarity with digital product domains such as personalization and recommendation engines, conversational/semantic search, fraud detection, or similar real-time, customer-facing ML applicationsEagerness to learn from experienced data scientists and a proactive attitude toward professional growthExperience with NLP, LLM integration, or retrieval-augmented generation (RAG) pipelines for search or conversational AI applications is a plusBenefitsMedical/Vision, Dental, Retirement and Paid Time AwayLife Insurance and DisabilityMerchandise Discount and EAP Resources401kMedical/vision/dental/life/disability insurance optionsPTO accrualsHolidaysCompany OverviewNordstrom is an online fashion retailer that specializes in fashion, footwear, accessories, and beauty. It was founded in 1901, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is http://www.nordstrom.com.Company H1B SponsorshipNordstrom has a track record of offering H1B sponsorships, with 188 in 2025, 231 in 2024, 190 in 2023, 311 in 2022, 280 in 2021, 208 in 2020. Please note that this does not guarantee sponsorship for this specific role.



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