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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 machine learning and optimization 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 that are closest to where we anticipate customers will want it. We collaborate with product management, program management, and engineering colleagues to provide data-driven solutions. 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 by improving the selection of products available to them on their terms.

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!

Read this first: Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat to see what skills/experience you are able to bring to this team.

What you'll do

• Demonstrate curiosity about the business and look for opportunities to solve problems using machine learning and optimization

• Explore complex data sources, becoming a subject matter expert in inventory positioning across all of Nordstrom’s businesses (i.e., Nordstrom, Nordstrom Rack, 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

• Collaborate with teammates, learning from and sharing your expertise with them

• 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

• Work closely with data engineering partners to use and improve our machine learning infrastructure

Skills and experience you have

• Advanced SQL skills

• Expert understanding of statistics, data analysis, and visualization

• Excellent Python and/or R skills and significant experience with machine learning and data science libraries (e.g., ggplot, scikit-learn, pandas, matplotlib, seaborn, etc.) 

• Experience with software engineering best practices, including story estimation, test-driven development, code review, and version control with git

• Passion for problem-solving and curiosity about machine learning innovation

• Relationship-building and clear communication

• Commitment to collaboration and regularly presenting progress, insights, and recommendations to stakeholders

• Strong technical writing and documenting

• Excellent written and verbal communication skills

• Experience with technologies such as AWS, Docker, Kubernetes, Airflow, or similar

What your background may look like

• 2-5 years of hands-on data science experience. Retail experience, especially involving inventory and/or supply chain, is a plus

• 5+ years of experience querying data with SQL

• Degree in a quantitative field or equivalent experience. MS or PhD is a plus

• Experience deploying models in production 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

• Hackathons

• Career advancement opportunities

• Comprehensive health coverage, competitive salary, 401(k) match

• A supportive, encouraging culture guided by our company values

• Nordstrom discount!

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.