Sr. Data Scientist - Supply Chain - Remote

Key Skills

Analytical and Problem solving, Apache Airflow, AWS, Data Analysis, Data science techniques, Data Visualization, Docker, Java Programming, Kubernetes-K8s, Machine learning techniques, matplotlib, NumPy, Pandas, Python Programming, seaborn, SQL

Job Description

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.

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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
• Hackathons
• Career advancement opportunities
• Comprehensive health coverage, competitive salary, 401(k) match
• A supportive, encouraging culture guided by our company values
• Nordstrom discount!