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!
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!
A day in the life...
Collaborate with our partner teams to create data science products and solutions for stakeholders, translating questions to robust answers efficiently.
Apply advanced statistical methods, data modeling, and predictive analysis to answer strategic questions.
Extract and prepare large sets of data for analysis.
Perform large-scale statistical analysis and develop and apply segmentation, predictive models, and forecasting models to key business problems.
Research, design, and implement production-level, scalable code and algorithms.
Work within and across teams to develop and deploy data products and data-driven software, to provide analytical insights.
Collaborate with the BI and analytical teams, and support ad-hoc analysis.
Improve existing data resources by building data pipelines using AWS Cloud Services and other services.
Lead code and documentation reviews, educating the adoption of Data Science/Machine Learning best practices within the center of excellence.
Minimum qualifications include…
5+ years hands-on professional experience in Data Science and Analytics.
3-5+ years of strong coding skills in at least one statistical or programming language (e.g. R, Python) to import, process, summarize, and analyze data.
Experience with utilizing data visualization tools to tell compelling data stories (e.g. Tableau, Shiny)
Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
A solid grasp of the Scientific Method and its application to Data Science.
Fluency with descriptive and inferential statistical techniques, including experimental design (DOE) concepts and their application.
Proficiency with statistical and machine learning algorithms (e.g. regression, decision trees, collaborative filtering, clustering, survival analysis, graph theory, etc.).
Proficient in extracting large data sets from various relational databases using SQL (Amazon Redshift, Oracle, Teradata preferred).
Our ideal candidate has…
MS or PhD in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
Strong background and proficiency with advanced methods such as (neural networks, Bayesian networks, deep learning, recommenders, etc.)
Experience of building and maintaining operational models processing large quantity of data in real-world production environments such as SageMaker, AzureML or Kubernetes.
Experience building and deploying data apps using R Shiny, Flask, Dash or similar tools
Experience developing packages in R or Python along with clear documentation
Passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing.
Deep knowledge of statistical and machine learning algorithms and experience developing and deploying them to production-level systems (using Scikit-Learn, mlpy, MICE, Caret, PyTorch, Keras, or TensorFlow).
Experience working in a highly-collaborative environment (e.g. code sharing, using revision control, contributing to team discussions/workshops, and document sharing).
Experience developing and deploying data pipelines using Cloud Services (e.g. AWS).
Experience using engines such as Apache Spark or Hadoop to analyze large datasets.
Experience with data ETL, RESTful APIs.
Strong coding skills in Python, R. Strong preference will be given to those who can code in both R and Python.
Familiarity with e-commerce analytics topics (e.g., digital tactics, targeting and customer segmentation, lifetime value forecasting, and incremental response modeling, to name a few).
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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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: $106,500-$159,700, Nevada: $106,500-$159,700