Supply Chain Machine Learning Data Scientist - Hybrid - Seattle, WA jobs in United States
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Nordstrom · 1 day ago

Supply Chain Machine Learning Data Scientist - Hybrid - Seattle, WA

Nordstrom is a leading fashion retailer, and they are seeking a Data Scientist in their Supply Chain Machine Learning team. The role focuses on solving complex supply chain challenges using machine learning and optimization techniques to enhance operational efficiency and improve customer experiences.

E-CommerceFashionRetail
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H1B Sponsor Likelynote

Responsibilities

Partner with product managers, engineers and other stakeholders to understand business problems and identify opportunities for machine learning applications to optimize Nordstrom’s supply chain and customer experience
Perform exploratory data analysis and statistical modelling to extract actionable insights from large and complex datasets
Build and maintain robust data pipelines to process, clean and transform data from diverse sources (e.g. SQL datasets, APIs, flat files)
Design, develop and implement scalable and production-ready machine learning models / optimization algorithms for areas such as demand forecasting, order fulfillment, operational efficiency
Implement robust evaluation and monitoring to validate the performance and reliability of machine learning models
Communicate complex findings, insights and trade-offs to technical and non-technical stakeholders

Qualification

Machine LearningData AnalysisSQLPythonStatistical ModelingMachine Learning LibrariesCloud-based ML InfrastructureCommunication SkillsCollaboration SkillsProblem Solving

Required

Bachelor's, Master's, or PhD in Statistics, Data Science, Computer Science, Engineering, Operations Research, or a related technical field; or Equivalent related professional experience
Minimum 1 years hands-on experience in Data Science or Machine Learning roles
Minimum 1 years of professional SQL experience, performing advanced queries and optimization techniques
Proficient coding skills in Python, with experience writing clean, maintainable, and optimized ML code
Experience applying statistical and machine learning algorithms, such as regression, decision trees, clustering, neural networks, survival analysis, along with model evaluation techniques
A passion for solving complex problems with creative approaches
Strong communication and collaboration skills, with the ability to work both independently and as part of a team

Preferred

Experience developing and deploying machine learning models in production environments
Familiarity with machine learning libraries/frameworks such as Scikit-learn, TensorFlow, and PyTorch
Curiosity to understand business processes and identify opportunities for innovation and improvement using data-driven approaches
Exposure to cloud-based ML infrastructure and data pipelines (e.g., AWS, GCP, Azure)
Knowledge and experience in supply chain
Motivation to stay current with advancements in data science and machine learning technologies

Benefits

Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more.

Company

Nordstrom

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Nordstrom is an online fashion retailer that specializes in fashion, footwear, accessories, and beauty.

H1B Sponsorship

Nordstrom 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 (188)
2024 (231)
2023 (190)
2022 (311)
2021 (280)
2020 (208)

Funding

Current Stage
Public Company
Total Funding
$969.45M
Key Investors
Ryan CohenEl Puerto de Liverpool
2024-12-23Acquired
2023-02-03Post Ipo Equity
2022-09-16Post Ipo Equity· $294.45M

Leadership Team

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Erik Nordstrom
Chief Executive Officer
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Alexis DePree
Chief Operating Officer
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Company data provided by crunchbase