Director of Data Science

Neiman Marcus
Irving, Texas, United States
05 Apr 2022
20 Jul 2022

Neiman Marcus Group (NMG) has been the premier destination for luxury fashion and goods, superior service, and an elevated retail experience for more than a century. Today, 9,000 associates contribute to the success of NMG's brands: Neiman Marcus, Bergdorf Goodman, Last Call, and Horchow. There are 38 full-line Neiman Marcus stores in cosmopolitan markets across the United States and a sophisticated digital platform that attracts shoppers worldwide. Bergdorf Goodman operates two stores in landmark locations on Fifth Avenue in New York City and, catering to loyal luxury customers globally. NMG also owns five Last Call stores and, an e-commerce site that offers premium furniture and home decor.

As an organization, NMG is on a transformational journey to become the preeminent luxury customer platform. NMG continues to deliver the best integrated customer experience and has evolved the business to succeed in the ever-changing retail landscape. NMG is a relationship business. What differentiates the organization from other luxury retailers are its unique assets: a strong store footprint, the most knowledgeable associates, an engaging online experience, solid brand partnerships, innovative digital and in-store experiences, the most loyal luxury customer base, and a strong balance sheet.

Our customers will always be at the center of everything NMG does. The company continues to reinvest in new technologies that enhance the customer experience. NMG meets customers where they are. NMG's goal is to offer customers a seamless experience across its stores, online, and remote digital selling.

NMG's priority is to develop a highly engaged and high-performing team where everyone belongs. The business attracts and retains best-in-class talent through unique offerings provided to associates in addition to standard employer benefits. These include an innovative way of working, associate discounts on merchandise, tuition reimbursement, associate hardship fund, and paid time off to volunteer, to name a few.

As part of NMG's Environmental, Social, Governance (ESG) work, the organization is focused on driving its core value of being "All Heart." NMG is also assessing its current environmental and social impact while developing a three-year plan to lead the luxury industry in its commitment and transparency to environmental and social sustainability. NMG strives to become an employer of choice, driven by a culture of Belonging. A dedicated team focuses on this journey, directly impacting how NMG conducts business throughout the workforce, workplace, and marketplace dimensions.

NMG has incredibly passionate and committed corporate and store associates. NMG offers associates an environment where everyone feels welcomed, nurtured, and empowered. Our associates are the heart of NMG. As an organization, NMG leads with love - love for customers, love for associates, and love for brand partners.

Neiman Marcus Group has an immediate opening for a Director of Data Science reporting to the Vice President of Customer Insight and Advanced Analytics. This position leads the data science team in providing data science/AI modeling and predictive insights into customer behavior to support decision making relating to customer CLV and segmentation, customer engagement, promotions, styles and marketing programs for all brands both in stores and online.

  • Lead a data science team and partner with an offshore team in exploiting data to promote grow business and customer CLV via machine learning and AI/deep learning modeling
  • Leverage state-of-the-art ML/AI tools and analytical methodologies to develop and implement various types of predictive models, segmentation strategies, optimization algorithms, and advanced analytical approaches with a targeted result of increasing revenue and customer CLV
  • Problem-solve business pain points with data science approaches and present results to senior business stakeholders and align on actions

  • 7+ year's experiences in leading, hiring, and managing a high performing data science team
  • Must have a great track record of aligning data science activities with business strategies and measuring impact on business results
  • Must be highly versed in the latest ML/AI modeling methodologies
  • Exceptional standards for quality and strong attention to detail
  • Well-versed in Python, Machine Learning, AI/Deep learning, Bayesian Statistics, etc
  • Advanced degree (PhD or Masters) in an analytical or technical field (e.g. applied mathematics, statistics, physics, computer science, operations research, business, economics

Similar jobs

Similar jobs