Nordstrom Inc

The Data Scientist role on the Marketing Optimization Analytics team is responsible for building end-to-end Machine Learning based Analytic Data Products that will directly impact short-term and long-term marketing strategy.. Develop and implement analytics applications to extract meaningful insights from large, disparate data sources using Python, R, SQL, and data visualization tools.. Experience in bridging bottoms-up marketing measurement (like MTA) with top-down approaches (like MMM), and validating these models using experiments.. Experience building and deploying data apps using R Shiny, Flask, Dash, Streamlit or similar tools. Experience using engines such as Apache Spark or Hadoop to analyze large datasets.

data scientist

Job Description

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 and machine learning models that transform marketing data into actionable insights and directly inform marketing strategy and investments. The Data Scientist role on the Marketing Optimization Analytics team is responsible for building end-to-end Machine Learning based Analytic Data Products that will directly impact short-term and long-term marketing strategy. This person should utilize proper Data Science techniques and have experience across the full-stack. The role has an opportunity to tackle challenges from ideation to insights delivery, with visibility across the leadership organization.

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 builds confidence and 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 of making 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...

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 marketing mix 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.
Liaise with our external measurement vendors (MMM, testing, tracking, etc. ) to ensure robustness of their models and our internal models.
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 analysis and develop and apply segmentation, predictive models, and forecasting models to key business problems.
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.

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, Streamlit)
Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
Expertise in statistical modeling, experimental design, inferential statistics, and machine learning (with particular emphasis in marketing mix models, attribution models, and digital analytics.
Familiarity with marketing modeling techniques such as ad stock and carryover effects, 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.
Experience in bridging bottoms-up marketing measurement (like MTA) with top-down approaches (like MMM), and validating these models using experiments.
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 some combination of the following…

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 building Marketing Attribution models (Marketing Mix Models, Multi-touch attribution, 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, Streamlit 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.
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).

You’ll love this Job if You…

are a self-directed individual who operates with passion, urgency, focus, and discipline
have problem solving skills that are unparalleled
are an adaptable team player
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
“LOVE” the engineering and architecture portion of data science work gain satisfaction in deploying useful data products that make business impact

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.

California: $130,000-$201,500 Annually, Washington: $130,000-$201,500 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_17-19.pdf

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