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Sr. Data Scientist

📁
Information Technology
💼
Corporate

Job Summary  

A Senior Data Scientist enhances customers’ magical luxury shopping experience and increases NMG’s NPV by applying algorithms. They perform statistical and econometric analysis, AI/ML modeling, and optimization. They solve 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. 

 

Job Duties

  • The Senior Scientist reports to the Senior Director 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 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.
  • Continuously learns new skills
  • Researches, innovates, and designs algorithms and techniques to contribute in optimization and automation.
  • May be allowed to work from home or from remote location upon corporate approval

 

Job Requirements

  • 3+ years of hands-on experience in Data Science.
  • At least a quant-based graduate 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 three of the followings: a) graph/network theory, b) product recommendation engine, c) statistical modeling and linear/non-linear optimization theory, d) machine learning and neural Network
  • Experience in working in retail space will be a plus.
  • Strong coding skills in SQL, Python
  • 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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