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Job Description
Data Scientist 2 Off-Price, Cross Function (Assortment, Funnel Optimization) 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.
We’re looking for a Data Scientist to build practical solutions tailored to specific business needs of the fast-growing off-price channels of Nordstrom.
The role will be responsible for collecting, analyzing and presenting data to influence decision making using advanced statistical methods, building the pipelines, and helping determine the next generation of tools.
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 the Off-price (i.e. Nordstrom Rack) division.
Here we build data science products and provide analytics consulting in support of strategic business decisions, including marketing, merchandise, supply chain, and digital experience.
We work as the brain for the Off-price division with passion for supporting data-driven decision making, a devotion to advanced techniques, and 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! A day in the life.
Partner with key stakeholders on data analysis problems and translate stakeholder requests into sound methods at the Epic-level.
Apply advanced statistical methods, data modeling, and predictive analysis to answer strategic questions for the off-price business.
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, which provide marketing 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. Educate adoption of Data Science / Machine Learning best practices within the CoE 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.
Bachelor’s, MS or PhD in mathematics, statistics, computer science or in 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 Strong background and proficiency with advanced methods such as (neural networks, Bayesian networks, deep learning, recommenders, etc.
Deep knowledge of statistical and machine learning algorithms and experience developing and deploying them to production-level systems.
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 developing and supporting RESTful infrastructure / payload. Experience with data ETL. Experience with REST or restFull APIs.
Strong coding skills in Python, Go, Scala, Java, C, and / or C. Familiarity with marketing analytics topics (e.g., digital tactics, targeting and customer segmentation, lifetime value forecasting, and incremental response modeling, to name a few).
You’ll love this Job If You are a self-directed individual who operates with passion, urgency, focus, and discipline put simply, you get-stuff-done.
have problem solving skills that are unparalleled you are scrappy and resourceful are an adaptable team player. You will enthusiastically take on other assignments as needed to support your team! are detailed-oriented with a knack for precision and accuracy in numbers and analyses.
are someone who appreciates diversity in all its forms are someone who appreciates a company that values and encourages work-life balance About Nordstrom Nordstrom is a specialty retailer offering the very best in fashion and customer service since 1901.
We live by five simple values that guide how we work together day-to-day and how we deliver analytics & data science products.
We are customer-obsessed, owners at heart, curious and ever-changing, we extend ourselves to our peers and our customers, and we’re here to win! We're proud to be named to Fortune™ magazine's list of '100 Best Companies to Work For.
We believe this recognition comes from our desire to empower our employees to set their sights high and deliver exceptional service to customers.
