Data Scientist- Supply Chain- Remote

Key Skills

Amazon RedShift, Data Engineering, Data pipelines, Data science techniques, ETL frameworks, Java Programming, Machine learning techniques, matplotlib, Pandas, Presto, Python Programming, R Programming, Scikit-learn, seaborn, SQL, Teradata, Tidyverse

Job Description

Nordstrom is a fashion specialty retailer founded on a simple idea: offer each customer the best possible service, quality, value and selection. At Nordstrom, providing great customer service goes beyond the selling floor. It takes a team of individuals with different talents and skills to continuously improve service and our results. Our Advanced Analytics team works in partnership with other areas of the Company to develop insights, algorithms, and data products that support decision making, products, and technologies used throughout Nordstrom. When you join our team, you are welcomed into a family dedicated to creating memorable and rewarding shopping experiences for our customers.

As an integral part of the Operations Research/Supply Chain Analytics team, the data scientist role will focus on the area of Operations Research and Supply Chain Optimization. The ideal candidate is a creative and passionate problem-solver who thinks big, acts quickly, and is motivated to develop new approaches to optimize Nordstrom’s supply chain using quantitative and cutting-edge technology.

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 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…

• Masters Degree in Data Science or similar field or equivalent experience
• 1+ year of relevant hands-on data science experience in a corporate environment. Retail experience, especially in inventory or supply chain, is a plus
• 1+ year of professional experience querying data with SQL (e.g., Teradata, Presto, Redshift)
• 1+ year of professional experience with Python or R
• 1+ 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