Data Scientist

Job Summary  

A Data Scientist in Neiman Marcus Group (NMG) deepens customers’ relationship, enhances customers’ magical luxury shopping experience, and increases luxury customers’ lifetime values 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, recommendation, customer engagement, marketing promotions, etc. This position will lead data science needs across all Neiman Marcus Group brands, divisions and selling channels. 

Job Duties

• The position reports to the Director of Data Science/AI.
• 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, recommendation, customer engagement, marketing science using big data in cloud environment to improve customer satisfaction and promote growth.
• Leverages state-of-the-art AI and 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 data science, 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) machine learning, b) personalized recommendation engine, c) statistical modeling and linear/non-linear optimization theory, d) deep learning and/or deep reinforcement learning.
• 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 Pytorch, 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.