Data Scientist

• 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