Data Scientist II, Nordstrom Media Network, Customer Insights and Analytics, (Hybrid, WA)

Job Description

NOTE:   This position is offered as a hybrid role in the Seattle, WA area.  You must be willing to work in office at the Nordstrom Seattle office a minimum of 3 days/week to be considered for this position.

Nordstrom is reinventing the retail industry through the power of data and artificial intelligence. The vision for Data Science & Analytics at Nordstrom is to be the best data-driven fashion retailer in the world, and we win by rigorous and thoughtful application data science to solve strategic business challenges. Nordstrom’s centralized Customer Analytics team focuses 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 segmentation, marketing, company strategy, 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! 

We are looking for a creative, curious, and passionate Data Scientist to join our Marketing Analytics team as a Data Scientist II. In this hands-on role, you will build end-to-end data products, incrementality testing, sales attribution, and machine learning models that transform marketing data into actionable insights and directly inform marketing strategy and investments for our brands.

A day in the life…

• Develop and implement analytics applications to extract meaningful insights from large, disparate data sources using Python, R, SQL, and data visualization tools.
• Build and enhance customized sales attribution models to connect marketing activities to short-term and long-term business outcomes.
• Optimize marketing investments by leveraging data-driven insights from modeling, forecasting, simulations, and testing.
• Design and analyze controlled experiments and A/B tests to validate model performance.
• Build and deploy robust data models that facilitate scalable statistical modeling and deep dive analyses for marketing use cases.
• Collaborate with our partner teams to create data science products and solutions for stakeholders, translating questions to robust answers efficiently.
• Perform large-scale statistical analyses and develop regression models for sales attribution and incrementality to key business problems for brands.
• Work within and across teams to develop and deploy data products and data-driven software, to provide analytical insights.
• Collaborate with and support consulting analytics teams on needs for ad-hoc analyses.
• Lead code and documentation reviews, educating the adoption of Data Science/Machine Learning best practices within the center of excellence.

You own this is you have…

• Bachelor’s degree in mathematics, statistics, computer science, economics, marketing, analytics or in a quantitative field (or equivalent experience).
• 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, Streamlit, Looker, Looker Studio)
• Expertise in statistical modeling, experimental design, inferential statistics, and machine learning (with particular emphasis in causal measurement, multi-touch & closed-loop attribution models, and digital marketing analytics).
• Familiarity with marketing modeling techniques such as the different types of transformations to capture diminishing returns effects in linear models, modeling approaches for capturing synergistic effects of media investments, creative decay/wear-in/wear-out, full funnel measurement.
• Proficiency with statistical and machine learning algorithms (e.g. regression, decision trees, collaborative filtering, clustering, survival analysis, graph theory, etc.).
• Proficiency in extracting large data sets from various relational databases using SQL (Amazon Redshift, Oracle, Teradata preferred).
• Experience with brand specific retail marketing data (e.g. Meta Ads, Google Ads)

#LI-Hybrid

#LI-CH1

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:

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources

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 conducts background checks and considers 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. 

Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ’s for relevant information and guidelines.

© 2022 Nordstrom, Inc  

Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.

Pay Range Details

The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. 
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.

$142,000.00 - $220,500.00 Annual

This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf