As a Data Scientist, you will take lead on exploring and creating business value from data science operations, you will formulate strategies and follow-on data science processes and architectures, including statistical analysis, machine learning modeling etc. You will help ensure understanding of the business objectives and help invent new ways to analyze, visualize, and derive value from enterprise and financial services data.
Manage data analytics requests and turn them into clearly defined projects for the team, with well-defined parameters and deliverables. In addition, lead efficient, accurate and timely data analysis projects, and effectively communicate findings.
The incumbent will be expected to develop attribution, segment and predictive models to support customer acquisition strategies, primarily for digital channels. It is expected this will be accomplished through pilot, test and learn delivery practice to support a wide range of services and projects in the distribution and sales channels.
In this role, the selected candidate will work as part of a small team to conceive and conduct in-depth research on topics in machine learning, scalable mathematical data manipulation technologies, big data, cloud computing, and virtualization.
In this role, you will develop and deploy machine learning models, data mine, deep learning and AI to see if we are running effective campaigns and focus on improving customer experience from digital channels.
Utilize statistical natural language processing to mine unstructured data, and create insights; analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses
In this role, you will analyze healthcare data, run descriptive statistics, generate prior distributions, explore relationships: correlation, covariance, causality, structural equation modeling, and build Bayesian Influence diagrams.
Analyzes data to describe client behavior and preferences, understand channel usage, diagnose client experience problems, size marketing opportunity, target clients for treatment and measure the impact of marketing and servicing initiatives.
In this role, the selected candidate will analyze healthcare data, run descriptive statistics, generate prior distributions, explore relationships: correlation, covariance, causality, structural equation modeling, and build Bayesian Influence diagrams.