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Data Scientist

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Information Technology
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Corporate

NEIMAN MARCUS GROUP

 

 

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 BergdorfGoodman.com, catering to loyal luxury customers globally. NMG also owns five Last Call stores and Horchow.com, 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.

 

Job Summary  

A Data Scientist in Neiman Marcus Group (NMG) deepens customers’ relationship, enhances customers’ magical luxury shopping experience, and increases luxury customers’ CLVs by applying algorithms. The Data Scientist performs statistical and econometric analysis, AI/ML modeling, and numerical optimization. The Data Scientist solves use cases related to personalization, customer engagement, marketing promotions, merchandise planning, supply chain, pricing, and cost. This position will lead data science needs across all Neiman Marcus Group brands, divisions and selling channels. 

 
  • The position reports to the Manager or Senior Manager of Decision Science
  • Collaborates with cross-organization to ideate and prioritize use cases, business problems, and user stories that can enhance customers experience and increase NMG ROI.
  • Leads data science projects independently while collaborating with team members and multi-organizational stakeholders.
  • Develops statistical, econometric, AI/ML, and numerical optimization models for personalization, customer engagement, marketing science, retail analytics, business analytics, and supply-chain analytics using big data in cloud environment to improve customer satisfaction and promote growth.
  • Leverages state-of-the-art data science tools, methodologies, and algorithms to drive improved decisions
  • Collaborates in the development and implementation of predictive models, segmentation strategies, optimization algorithms, and data mining analyses with a targeted result of increasing revenue.
  • Researches, innovates, and designs algorithms and techniques to contribute in optimization and automation.
  • Continuously learns new skills
  • May be allowed to work from home or from remote location in the USA

 

Job Requirements

  • At least a quant-based undergraduate degree such as Computer Science, Electrical Engineering, Math, Statistics, Physics, Economics, or other related fields from a reputed university with course work that includes analytics, coding, statistics, math, and algorithm development. Ph.D. is Preferred
  • Strong in Math, Statistic, Finance, and Econometric
  • Expert Level skills in at least two of the followings: a) graph/network theory, b) personalized recommendation engine, c) statistical modeling and linear/non-linear optimization theory, d) machine learning and neural Network
  • 1+ years of hands on experience in Data Science.
  • Experience in working in retail space will be a plus.
  • Strong coding skills in Python and SQL
  • Experience in using Keras, Tensorflow, and scikit-learn
  • Experience in working on Spark, AWS SageMaker, S3, and SnowFlake is a plus
  • Experience with full lifecycle agile and experimental design methods.
  • Experience in processing and performing multi-faceted analysis with on-line browsing, sales transaction, product, and inventory data.
  • Exceptional standards for quality and strong attention to detail
  • Ability to manage multiple projects and on-demand business requests simultaneously
  • Able to work in a fast-paced agile team with team members from diverse areas such as marketing, creative, strategy, product, and engineering

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Los Angeles and San Francisco Applicants: Neiman Marcus will consider for employment qualified applicants with criminal history as required by applicable law.
If you have a disability under the Americans with Disabilities Act or similar law, and you need assistance in accessing our Career Center or wish to discuss potential accommodations related to applying for employment at our Company, please contact ApplicantSupport@NeimanMarcus.com.
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