Principal Data Scientist
Job Requirements
- 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) personalized recommendation engine, c) statistical modeling and linear/non-linear optimization theory, d) machine learning and neural Network
- 5+ years of hands on experience in Data Science.
- Experience in working in retail space will be a plus.
- Strong coding skills in Python, Spark, and SQL
- Strong in neural network (Keras, Tensorflow), and machine learning (Python scikit-learn, Spark MLib)
- 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
- Able to mentor data scientists and lead large projects.