Senior Manager, Data Science

Neiman Marcus
Irving, Texas, United States
22 Sep 2022
04 Nov 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 Sr. Manager of Data Science reporting to the Sr. Director of Data Science. This position leads a team of 5 data scientists overseeing the customer, economics and value proposition data science disciplines. To support this team this person will leverage additional resources from our offshore GCC data science team in Bangalore. This team creates data science/AI modeling and predictive insights into customer behaviors to support decision making to customer strategy and customer lifetime value. Understand the econometric models of the luxury industry and individual brands to build models to optimize economic and strategic outcomes and understand the value and causality of actions the business may take for all brands both in stores and online.

Job Responsibilities:
  • Mentor and Oversee a team of 5 data scientists
  • Participate in interviews to grow the data science team.
  • Manage the end to end development of Data Science and AI models covering our focus areas of Customer, Economic and Value Proposition data science.
  • Partner with business and engineering stakeholders to develop data-driven business strategy that produces production level ML and AI products used to influence business outcomes.
  • Build frameworks to ensure successful end to end completion of projects across your team.
  • Present results to business stake holders ranging from the C-Suite to in store associates.
  • Own the full development cycle: idea, design, prototype, impact assessment, A/B testing (including interpretation of results).
  • Scale models and insights offerings to multiple products.
  • Be the voice of the customer across products and determine trends vs. outliers.

  • Masters Degree in Quantitative Discipline (e.g. Mathematics, Economics, Computer Science, Engineering, etc.).
  • 8+ years of industry experience.
  • 5+ years' experience managing data scientists and growing a data science team.
  • Experience managing a geographically dispersed workforce across multiple time zones.
  • Has worked as an IC in data science and can roll their sleeves up and get their hands dirty with their team.
  • Strong stakeholder management and presentation skills.
  • Customer focused
  • Leadership ability to influence others, without authority, to lead change
  • Excellent writing and communication skills
  • Self-starter who needs minimal direction and able to effectively manage through ambiguity
  • Experience with SPARK
  • Expert in SQL, Python

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