Nordstrom is a specialty retailer offering the very best in fashion and customer service since 1901. Five values 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 understand that our success comes from empowering our employees to set their sights high and deliver exceptional service to our customers.
The Inventory Positioning Data Science team’s mission is to use data science and analytics to power Nordstrom’s decision making about where inventory needs to be to best serve customers what they want, where they want it, and when they want it. We predict how much of which types of inventory Nordstrom will have in various locations in the future to enable our merchants and supply chain partners to best serve our customers on their terms. We build and deploy models to allocate inventory to the stores and fulfillment centers based on where we anticipate customers will want it. We collaborate with product management, program management, and engineering colleagues to provide data-driven solutions for our partner teams. We welcome feedback, and we evaluate our products’ performance over time to identify and realize improvements over the long term. In everything we do, we prioritize making a big impact for our customers.
Read this first: We encourage you to apply even if you do not meet all of the qualifications, but feel you would be a good fit for the position. Nordstrom is an equal opportunity employer. We are building a diverse, inclusive workforce and hope you will join us!
What you'll do
Develop a deep understanding of Nordstrom’s business and inform how we can use data science products to progress from our current state of inventory management to our target state using machine learning
Proactively identify high-value opportunities and influence stakeholders’ roadmaps
Master complex data sources, function as a subject matter expert in inventory flow across all of Nordstrom’s businesses (i.e., Nordstrom and Nordstrom Rack, online and in stores), and collaborate with data partners to improve and expand the team’s access to internal data
Lead efforts to develop and deploy robust end-to-end data science products, i.e., work across the product lifecycle from research and discovery to operationalization and production
Work closely with data engineering partners to use and improve our internal Machine Learning Platform infrastructure
Collaborate with and mentor teammates, learning from and sharing your expertise with them
Create resources and opportunities for learning and growth across our broader community of data scientists and data analysts
Skills and experience you have
Exemplary SQL skills, producing repeatable and robust code
Expert understanding of statistics, data analysis, and data visualization
Fluent Python skills and extensive experience with machine learning and data science libraries (e.g., scikit-learn, numpy, pandas, matplotlib, seaborn, etc.)
Experience with software engineering best practices, including story estimation, test-driven development, code review, and version control with git
Experience with Amazon Web Services (AWS) ecosystem or similar and with tools like Docker, Airflow, Kubernetes, or similar
Significant experience with deploying models in production
Passion for problem-solving and track record of machine learning innovation
Relationship-building and clear communication targeted to specific audiences
Commitment to collaboration, regularly presenting progress, insights, and recommendations to stakeholders, and incorporating feedback into design of new models and model improvements
Outstanding technical writing and documenting
Excellent written and verbal communication skills
What your background may look like
5+ years of hands-on data science experience. Retail experience, especially involving inventory and/or supply chain, is a plus
7+ years of experience querying data with SQL
Degree in a quantitative field or equivalent experience. MS or PhD is a plus
A few of our perks
Tremendous opportunity to work on exciting machine learning problems at the heart of Nordstrom’s strategy to be the best fashion retailer
Lightning talks and other opportunities to learn and share with our team of data science and analytics experts
Career advancement opportunities
Comprehensive health coverage, competitive salary, 401(k) match
A supportive, encouraging culture guided by our company values
Nordstrom is able to offer remote employment of this position in all US states except AR, MS, MT, NE, NH, ND, SD, VT, WV, and WY. #LI-Remote
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:
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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Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.
Pay Range Details
The pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.Colorado: $124,600-$186,900, Nevada: $124,600-$186,900