Data Scientist 2- Supply Chain

Job Description

**This role is located in Seattle, but you can work remote if you live in one of our hub cities which include: Chicago, Denver, Los Angeles, and Atlanta.

Nordstrom is a specialty retailer offering the very best in fashion and customer service since 1901. We are guided by five values that guide how we work together and how we deliver analytic insights and data science products. We are customer-obsessed, owners at heart, curious and ever-changing, here to win, and committed to extending ourselves. We're proud to be included on Fortune™ magazine's list of '100 Best Companies to Work For.' We believe this recognition comes from our desire to empower our employees to set their sights high and deliver exceptional service to customers.

The Supply Chain Data Science & Analytics team’s mission is to deliver the best order fulfillment experience through the integration of predictive models and analytical insight. We work on exciting, impactful opportunities, such as predicting product availability, selecting the optimal location to route an order to, and forecasting labor needs at every store in our network in order to enable our supply chain to best serve our customers.

We are committed to building teams that reflect the diversity of our customers, and we understand that active inclusion is central to how Nordstrom wins. We’re an equal opportunity employer and encourage individuals from underrepresented backgrounds to apply!

What you'll do

• Demonstrate curiosity about the business and look for opportunities to solve problems with data-driven approaches
• Explore complex data sources, becoming a subject matter expert in fulfillment processes and services across all of Nordstrom’s businesses (i.e., Nordstrom, Nordstrom Rack, Hautelook, and Trunk Club)
• Establish a track record of delivering end-to-end data science products, i.e., work across the product lifecycle from research and discovery to operationalization and production
• Engage with stakeholders to understand business problems where data products or tools can have the biggest impact, then develop and execute your planned solutions with the support of your manager and your teammates
• Work closely with data engineering partners to leverage and improve our machine learning infrastructure
  

You own this if you have…

• 2+ year of relevant hands-on data science experience in a corporate environment. Retail experience, especially in inventory or supply chain, is a plus
• 2+ year of professional experience querying data with SQL (e.g., Teradata, Presto, Redshift)
• 2+ year of professional experience with Python or R
• 2+ year of experience with machine learning (e.g. time series forecasting, regression, classification) and data science libraries (e.g., scikit-learn, pandas, matplotlib, seaborn, tidyverse, etc.)
• Degree in a quantitative field or equivalent experience. MS or PhD is a plus
• Experience with Amazon Web Services ecosystem is a plus
• Experience creating end to end production ETL pipelines is a plus
• Excellent written and verbal communication skills

#LI-EB1

We’ve got you covered…

Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources

A few more important points...

The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.

Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com .

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© 2021 Nordstrom, Inc.

Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.