Degree in Computer Engineering
A/B Testing, Algorithms, AWS, AWS Sagemaker, Data pipelines, Deep Learning, ETL frameworks, Flask, Java Programming, Keras software library, Kubernetes-K8s, Machine learning techniques, Neural Networks, Oracle, PyCaret, Python Programming, PyTorch, R Programming, R-Shiny, RESTful, Scikit-learn, SPARK Programming, SQL, Streaming APIs, TensorFlow, Terabyte scale datasets
The vision for Data Science & Analytics at Nordstrom is to be the best data-driven fashion retailer in the world, and we win by being relevant to the customer through an application of insight and prediction to outcomes. The Strategic Analytics team supports this vision by empowering the executive team with robust data products and analytical consulting that helps steer short and long term strategic decisions.
We are looking for a Data Scientist to build end-to-end Machine Learning based Analytic Data Products that will directly impact leaders across all levels of the Nordstrom business. This person should utilize proper Data Science based techniques and have experience across full-stack. The role has an opportunity to tackle challenges from ideation to insights delivery, with visibility across the leadership organization. This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data and communicate those insights in a way that builds confidence and enables decisions that drive business value.
We are part of the Nordstrom’s centralized Data Science and Analytics team with the focus on supporting executive management with robust decision support data science. Here we build data science products and provide analytics consulting in support of strategic business decisions, including customer personalization, marketing, merchandise, supply chain, and digital experience. We work as the quantitative right-hand for the executive team with a passion for supporting data-driven decision making, a devotion to advanced techniques, along with a creative team spirit!
The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. We welcome your curiosity about the business, your passion to unlock rich, nuanced insights from complicated data and the desire to communicate those insights in a way that drives positive business outcomes.
We are committed to building teams that reflect the diversity of our customers and active inclusion is core to how Nordstrom wins. We’re an equal opportunity employer and encourage individuals from all backgrounds to apply. If the idea to make a difference in this vibrant intersection of fashion, data science, and technology excites you, join our world-class data science team!
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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!
A day in the life...
Minimum qualifications include…
Our ideal candidate has…
We’re a fast-moving fashion company that started as a shoe store in 1901. This heritage of service is the foundation we’re building on as we provide convenience and true connection for our customers. We empower our people to be innovative, creative and focused on providing the best service to our customers. Through it all, we remain committed to leaving the world better than we found it.
United States
2-4 year
Seattle, WA, USA
6-8 year
Los Angeles, CA, USA
6-8 year
Seattle, WA, USA
6-8 year
Chicago, IL, USA
6-8 year