Data Scientist 1 - Stores & Finance (Hybrid - Seattle)

Job Description

Data Scientist 1

Stores & Finance, Customer Insights and Analytics

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. 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 Stores and Finance Analytics team as a Data Scientist 1. In this hands-on role, you will build end-to-end data products and machine learning models that transform data into actionable insights that directly inform stores optimization and informing strategy that allows our customers to ‘Feel Good and Look Their Best’. Some examples include: new store openings analysis, store merch optimization, forecasting, customer (and potential customer) analytics, and store performance measurement. 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.

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 to define success and develop measurement frameworks.
• Reconcile divergent demands from multiple stakeholders in a fast-paced work environment.
• Present the results to the stakeholders up to executive level and guide them to make the best use of analytics in their domain.
• Use advanced analytical and statistical practices to create thorough and actionable insights.
• Perform large-scale statistical analysis and develop and apply segmentation, predictive models, and forecasting models to key business problems.
• Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners to drive outcomes.
• Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise.
• Mentor more junior team members on analytics, storytelling, and communication best practices.
• Lead code and documentation reviews, educating the adoption of Data Science/Machine Learning best practices within the center of excellence.

Minimum qualifications include…

• 1-3 years hands-on professional experience in Data Science and Analytics.
• 1-3 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.
• 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, Go, Scala, Java, C, and/or C++.
• 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).

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 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. 

© 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 are provided in compliance with state specific laws. Pay ranges may be different in other locations.

Washington: $103,000 - $188,500 Annually

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_16.pdf