Data Scientist 2- Inventory and Supply Chain - Remote
Location: Seattle, Washington
Type: Full Time
Preferred Education: Masters
Operations Research Professionals
10 openings available.
Telecommuting is allowed.
Nordstrom is a specialty retailer offering the very best in fashion and customer service since 1901. Five values guide how we work together and how we deliver analytic insights and data science products. We are customer-obsessed, owners at heart, curious and ever-changing, here to win, and committed to extending ourselves. We understand that our success comes from empowering our employees to set their sights high and deliver exceptional service to our customers.
The Inventory Positioning Data Science team’s mission is to use machine learning and optimization to power Nordstrom’s decision making about where inventory needs to be to best serve customers what they want, where they want it, and when they want it. We predict how much of which types of inventory Nordstrom will have in various locations in the future to enable our merchants and supply chain partners to best serve our customers on their terms. We build and deploy models to allocate inventory to the stores and fulfillment centers that are closest to where we anticipate customers will want it. We collaborate with product management, program management, and engineering colleagues to provide data-driven solutions. We welcome feedback, and we evaluate our products’ performance over time to identify and realize improvements over the long term. In everything we do, we prioritize making a big impact for our customers by improving the selection of products available to them on their terms.
We are committed to building teams that reflect the diversity of our customers, and we understand that active inclusion is central to how Nordstrom wins. We’re an equal opportunity employer and encourage individuals from underrepresented backgrounds to apply!
Read this first: Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat to see what skills/experience you are able to bring to this team.
What you'll do
Demonstrate curiosity about the business and look for opportunities to solve problems using machine learning and optimization
Explore complex data sources, becoming a subject matter expert in inventory positioning across all of Nordstrom’s businesses (i.e., Nordstrom, Nordstrom Rack, and Trunk Club)
Establish a track record of delivering end-to-end data science products, i.e., work across the product lifecycle from research and discovery to operationalization and production
Collaborate with teammates, learning from and sharing your expertise with them
Engage with stakeholders to understand business problems where data products or tools can have the biggest impact, then develop and execute your planned solutions with the support of your manager
Work closely with data engineering partners to use and improve our machine learning infrastructure
Skills and experience you have
Advanced SQL skills
Expert understanding of statistics, data analysis, and visualization
Excellent Python and/or R skills and significant experience with machine learning and data science libraries (e.g., ggplot, scikit-learn, pandas, matplotlib, seaborn, etc.)
Experience with software engineering best practices, including story estimation, test-driven development, code review, and version control with git
Passion for problem-solving and curiosity about machine learning innovation
Relationship-building and clear communication
Commitment to collaboration and regularly presenting progress, insights, and recommendations to stakeholders
Strong technical writing and documenting
Excellent written and verbal communication skills
Experience with technologies such as AWS, Docker, Kubernetes, Airflow, or similar
What your background may look like
2-5 years of hands-on data science experience. Retail experience, especially involving inventory and/or supply chain, is a plus
5+ years of experience querying data with SQL
Degree in a quantitative field or equivalent experience. MS or PhD is a plus
Experience deploying models in production is a plus
A few of our perks
Tremendous opportunity to work on exciting machine learning problems at the heart of Nordstrom’s strategy to be the best fashion retailer
Lightning talks and other opportunities to learn and share with our team of data science and analytics experts
Career advancement opportunities
Comprehensive health coverage, competitive salary, 401(k) match
A supportive, encouraging culture guided by our company values
Nordstrom is able to offer remote employment of this position in all US states except AR, MS, MT, NE, NH, ND, SD, VT, WV, and WY.
.We’re a fast-moving fashion company that empowers our people to be innovative, creative and always focused on providing the best service to our customers. The retail industry is rapidly changing, and we have interesting, complex problems to solve every day – from developing cutting-edge technology and opening new stores, to designing fresh, must-have fashion.
Whether you’re a genius engineer, a phenomenal salesperson or a supply chain guru, we invite you to bring your unique talents and join our team. We reward great work, promote from within and celebrate diversity.
Our values are the core of who we are. They inspire our employees, delight our customers and bring our business to life every day.
We strive to know our customers better than anyone else. We listen, anticipate, build trust and move with speed to deliver on their needs.
OWNERS AT HEART
We treat every interaction as an opportunity to make an impact and deliver excellence.
CURIOUS AND EVER CHANGING
We approach problems with curiosity and create solutions. We unlock potential to be bold, think big and inspire innovation.
HERE TO WIN
We’re committed to delivering results, both to...day and tomorrow. We win as a team by supporting and challenging one another to be better every day.
WE EXTEND OURSELVES
We treat each other with respect and kindness. We do the small things that make a big difference. We create a welcoming environment, helping people feel connected, valued and part of one community.
Come on! Join us!