Nordstrom

Compensation

Full Description

As a Data Scientist in the Merchandising & Inventory Machine Learning team at Nordstrom, you will work on solving complex merchandising and inventory challenges using machine learning and optimization techniques to enhance item performance and deliver exceptional customer experiences. Your focus will be on analyzing large datasets, building predictive models, and developing algorithms to support decision making in all facets of Nordstrom’s merchandising, such as demand forecasting, assortment, inventory positioning and pricing optimization. You will collaborate with cross-functional teams (other data scientists, software engineers, product teams, merchandising & inventory business partners) to design, implement, and deploy innovative, robust, and scalable solutions. This is an excellent opportunity to leverage your technical and communication skills, apply cutting-edge machine learning methods, and make a meaningful impact on Nordstrom’s operations and customer experience. A day in the life... • Partner with product managers, engineers and other stakeholders to understand business problems and identify opportunities for machine learning applications to optimize item lifecycle performance. • Perform exploratory data analysis and statistical modelling to extract actionable insights from large and complex datasets • Build and maintain robust data pipelines to process, clean and transform data from diverse sources (e.g. SQL datasets, APIs, flat files) • Design, develop and implement scalable and production-ready machine learning models / optimization algorithms for areas such as demand forecasting, assortment, and pricing optimization. • Implement robust evaluation and monitoring to validate the performance and reliability of machine learning models • Communicate complex findings, insights and trade-offs to technical and non-technical stakeholders You own this if you have... • Bachelor's, Master's, or PhD in Statistics, Data Science, Computer Science, Engineering, Operations Research, or a related technical field; or Equivalent related professional experience. • Minimum 1 years hands-on experience in Data Science or Machine Learning roles • Minimum 1 years of professional SQL experience, performing advanced queries and optimization techniques • Proficient coding skills in Python, with experience writing clean, maintainable, and optimized ML code • Experience applying statistical and machine learning algorithms, such as regression, decision trees, clustering, neural networks, survival analysis, along with model evaluation techniques • A passion for solving complex problems with creative approaches. • Strong communication and collaboration skills, with the ability to work both independently and as part of a team Preferred Qualifications: • Experience developing and deploying machine learning models in production environments • Familiarity with machine learning libraries/frameworks such as Scikit-learn, TensorFlow, and PyTorch • Curiosity to understand business processes and identify opportunities for innovation and improvement using data-driven approaches • Exposure to cloud-based ML infrastructure and data pipelines (e.g., AWS, GCP, Azure) • Knowledge and experience in retail • Motivation to stay current with advancements in data science and machine learning technologies Core Competencies: • Customer Focus: Commitment to delivering a seamless customer experience through technology solutions. • Decision Quality: Ability to make sound decisions based on a mix of analysis, wisdom, experience, and judgment. • Strategic Mindset: Capacity to take a long-term view and anticipate future trends and implications. • Manages Complexity: Effectively navigates and simplifies complex situations and challenges. • Communicates Effectively: Delivers clear, concise, and impactful messages to a variety of audiences. • Drives Results: Demonstrates a strong drive to achieve meaningful outcomes. #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. For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site. Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ’s for relevant information and guidelines. © 2022 Nordstrom, Inc Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs. Nordstrom keeps job postings open for at least one day after the posting date. Pay Range Details The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience. $121,500.00 - $188,500.00 Annual 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_16.pdf