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.
The Manager of Data Science and Analytics is responsible for leading a highly skilled team of analysts and data scientists in curating actionable insights that important strategic decisions for Nordstrom leadership. 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.
As part of the Nordstrom's centralized Data Science and Analytics team, the Strategic 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 personalization, marketing, merchandise, supply chain, 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!
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!
Responsibilities What you'll do
Lead a world-class team of data scientists and analysts, focusing on building a high performance team
Passionate about developing people, you will attract talent, coach and mentor team members balancing between projects timeline and team members' growth.
Rally and motivate the team. Communicate clear and inspiring purpose.
Build a roadmap for the team, and craft a communication plan to appropriately evangelize the team's work to stakeholders and the company
Lead the team in functioning like an internal management consulting analytics practice, supporting primarily the Strategy team and executive leadership team
Develop deep partnerships with product, engineering and other cross-functional support teams to deliver insightful analytics
Lead best practices in experimental design and test & learn activities
Foster data-informed decision making, hypothesis generation, and experimentation throughout the product org and broader company
Play lead role in coordinating work that needs to be done across multiple analytics teams to ensure timely delivery of quality work to stakeholders
You'll deeply understand the business and proactively spot risks and opportunities
Ideal Requirements and Background
You master analytics excellence, from deep technical acumen, to knowledge on best practices in quantitative methods to apply to business analyses, to the ability to present your analyses with confidence to varying audiences.
BA/BS degree ideally with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
Advanced degree (MSc or PhD) in statistics, mathematics, economics, applied science or equivalent STEM degree strongly preferred
Minimum 8-10 years of experience. 5-7 years in an analytics role
Very strong project management skills and track record of effectively managing complexity of coordination in matrixed organizations
Experience working in an analytics practice in management consulting is a plus, but not required
Familiarity with scripting (R or Python) and ML frameworks and libraries (e.g., caret, spark, scikit-learn, pandas, numpy, tensorflow, pytorch, keras, theano, seaborn, matplotlib, etc.)
Proficiency with graphics/visualization software (e.g. Shiny, ggplot, matplotlib, Tableau).
Experience with SQL required. Experience working with NoSQL data environments and tools such as Hadoop, Spark, DynamoDB is a plus.
Advanced Experience with AWS, GCP strongly preferred
Understanding of statistical analysis and a pragmatic attitude to modeling, emphasizing completeness and consistency and usefulness of models
Excellent diagnostic skills to analyze and identify discrepancies within sophisticated models and effectively give guidance to troubleshoot.
Strong work ethic with the ability to adapt to the situation; comfort with ambiguity and grace under pressure
Experience leading and mentoring a highly skilled, and diverse, team of analysts and data scientists
A nuanced understanding of diverse and inclusive hiring practices
You'll love this Job If You
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.
2020 Nordstrom, Inc.
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