Description:

The individual will be a hands-on data scientist being part of a team responsible for product innovation. You will be instrumental in working closely with product teams, marketing teams, engineering teams, and technical communities in incorporating data science and modern analytics into products and take an active role in effectively demonstrating how data science concepts are translated into viable solutions.

Responsibilities:  (1) Advocate production-centric & end-to-end development mentality and culture changes (2) Build analytics models to analyze and derive practical insights from large volumes of data that require the expertise of data analysis & generation and feature engineering. (3) Design, develop and deploy state of the art, data-driven predictive models.(4) Develop optimization and simulation models to solve business problems using latest technologies in data mining, statistical Modeling, pattern recognition, and optimization across the chosen industry and functional area. (5) Develop proofs-of-concepts and proofs-of-technology to recommend and push optimal solutions and right technologies to production (6) Develop intellectual properties including patents and publications. (7) Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems.(8) Convert code base from Python/R to production languages e.g. Java to streamline productionization.

Qualifications: (Please list all required qualifications)   (1) MS or PhD with substantial experiences in highly quantitative fields.(2) Expertise in some of the following technical domains: AI/ML, Deep Learning, Cognitive Computing, Simulation, Optimization, Security, and Blockchain. (3) Experienced in at least one of the following business domains: Banking and Financial Services, Retail, Communications, Intelligent Infrastructure, Smart City, Digital Twin. (4) The qualified candidate will have a proven history of driving critical research and development and developing in-depth analytical understanding of systems. (5) 3+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms. (6) 3+ years hands-on experience in optimization modeling, simulation and analysis. (7) Fluent in using Python, Java as a must. Good to master in C, C++, Scala, R. (8) Experienced in statistical tools including SAS, Matlab, SPSS and so on. (9) Hands-on Experience in modern AI/ML/DL platforms and tools including Spark, Tensorflow etc.  (10) Strong team player - invested in the collective success of the team and project outcomes (11) Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity.