**This role is with our team in Chicago, however, if you live in a hub location that include Denver, Seattle, Los Angeles or Atlanta you may work remotely. If you live outside of these areas, you would need to relocate to Chicago**
Join a high impact, customer-obsessed data science and analytics team!
At Nordstrom, we apply Data Science across a complex and rapidly evolving retail landscape to develop innovative data products, new business processes and improve the customer experience in our stores and online. Our data science teams are composed of interdisciplinary contributors with a broad scope who work in an energizing and collaborative atmosphere.
The Digital Customer Experience - Personalization team is on a mission to reinvent the digital styling experience through the power of data and artificial intelligence. We are working on exciting, cutting edge and impactful opportunities, such as: building advanced recommendation systems leveraging computer vision , natural language processing , and latest open - source methods; creating in-process tools to enhance th e stylist shopping experience ; and develop ing analytics solutions that enable the business to make data-driven decisions.
The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with machine learning solutions . We welcome your curiosity about the business, your passion to identify valuable opportunities from complicated data , and your 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 underrepresented 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!
What you'll do
Track record of delivering end-to-end data science products, i.e. ability to work across the product lifecycle from research and discovery to operationalization and production.
You master the entire end-to-end ML pipeline with solid, vast and deep proficiency of the families of techniques for each step of the ML product development. Ideally, you are an expert in at least one of the following: recommender systems, natural language processing, computer vision, deep learning.
Deep Python skills and proficiency in several machine learning frameworks and libraries (e.g., spark, scikit-learn, pandas, numpy , tensorflow , pytorch , keras , theano , seaborn, matplotlib, etc.)
Excellent software engineering best practices, including test driven development, code review, and version control with git.
Own large-to-complex machine learning projects independently driving technical decisions and making informed trade-offs that balance quick wins with long term robust solutions
Your passion for machine learning, curiosity, problem solving, and innovation empower you to stay up-to-date with research and to prototype new ideas quickly
Track record of peer reviewed publications and presentations at relevant ML conferences a plus.
Relationships and communication
Engage with Data Science & Analytics program management and stakeholders to frame, structure and prioritize business problems where data science projects or tools can have the biggest impact.
Collaborate with a cross-functional agile team spanning product management, engineering, user research and design to build innovative product solutions.
Work closely with data engineering partners to leverage and improve our Machine Learning infrastructure.
Influence the product strategy by uncovering business opportunities.
Nurture partnerships with stakeholders, cultivate ongoing alignment and provide visibility on ongoing progress and trade-offs.
Aptitude for breaking down complex technical topics for audiences with mixed levels of technical expertise and track record of storytelling with data. In particular, translating technical concepts into business outcomes and recommendations is essential for success in this role.
Comfort and aptitude for regularly presenting progress, insights and recommendations to stakeholders and senior leadership.
Strong technical writer and documenter.
Support the hiring and development of the best talent
Be a role model of our world class data science team. You will provide technical excellence, identify ways to improve our processes and toolkits and mentor team members to continuously elevate the cultural and technical bar of the team.
What your background may look like
MSc in quantitative field (or equivalent experience). PhD is a plus.
5+ years of relevant hands-on industry experience with track record of building successful end-to-end data product
Deep Python skills including familiarity with pandas, scikit-learn, tensorflow , etc .
Proficiency with graphics/visualization software ( e.g. plotly , dash, seaborn, ggplot , matplotlib, Tableau).
Extensive experience with SQL. Experience working with NoSQL data environments and tools such as Hadoop, Spark, DynamoDB is a plus.
Experience with Amazon Web Services ecosystem.
Excellent written and verbal communication skills
A few of our perks
Tremendous opportunity to work on some of the most exciting machine learning problems and learn from a large team of data science experts
Career advancement opportunities
Lunch and learns
Comprehensive health coverage, competitive salary, 401(k) match
A company culture like you’ve never experienced
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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