Principal Data Scientist - Hybrid - Chicago
Chicago, Il
Nordstrom
Job Description
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 data science & analytics 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!
Our Data Science & Analytics is developing innovative data products to drive value for our customers. As an integral part of the team, the Principal Data Scientist will lead our research in the space and implement advanced machine learning & optimization techniques.. The ideal candidate is a relentless problem solver with strong technical skills and a track record creating innovating, robust data solutions end-to-end. They should be energized by the chance to solve open-ended, high impact research questions and thrive when collaborating with both technical and non-technical partners.
A day in the life…
Partner with key stakeholders to understand the challenges in the pricing landscape and their current processes and workflows
Dive deep into complex business problems and immerse yourself in Nordstrom data & outcomes
Drive research on potential analytical approaches within the pricing domain and bring forth ideas & plans for how to execute them
Develop, assess, and deploy statistical and machine learning models that make large scale pricing recommendations
Lead team members and collaborate actively with business partners to deliver high quality solutions that are deployed in production
Design experiments to measure success of pricing data products & interpret findings to share with audiences of all technical abilities
You own this if you have…
Ph.D., MS or Bachelor’s degree in, Statistics, Economics, Machine Learning, Operations Research, Computer Science or other quantitative field
5+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations,
5+ years of experience in extracting & manipulating large data sets from relational databases using SQL
Highly skilled at developing and implementing statistical and machine learning algorithms (e.g. regression, classification and/or clustering) from inception to deployment
Fluent with experimental design and the ability to identify, compute and validate the appropriate metrics to measure success
Demonstrated success working in a highly collaborative technical environment (e.g., code sharing, using revision control, contributing to team discussions/workshops, and collaborative documentation)
Passion and aptitude for turning complex business problems into concrete hypotheses that can be answered through rigorous data analysis and experimentation
Deep expertise in analytical storytelling and stellar communications skills
Demonstrated success mentoring junior teammates & helping develop peers
#LI-EB1
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Clustering Computer Science Data analysis Economics Machine Learning ML models RDBMS Research SQL Statistics
Perks/benefits: Career development Health care Insurance
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