In this role, the selected candidate will help clients gain greater audience transparency and deeper engagement across digital channels at unprecedented scale, to develop high-performance algorithms for precision targeting, testing and implementing the algorithms in scalable, product-ready code.
The selected candidate will develop machine learning, data mining, and statistical and graph-based algorithms designed to analyze massive data sets and ensure the proper implementation and usage of algorithms.
In this role, you will be responsible for developing novel methodologies for statistical computing, event prediction, fraud detection, visualization, text mining, data stream management, data quality, anomaly detection and privacy preserving measures such as data anonymization.
In this role, the selected candidate will work with stakeholders to define business questions, success criteria, and model deployment plans; conduct exploratory data analysis and prepares visuals summarizing key features of the data.
In this role, you will understand complex business challenges, designing scientific solutions, manipulating large data sets, using cutting edge machine learning or statistical modeling techniques and synthesizing insights.
The Data Scientist needs to be able to work independently, build/run models in R, and identify methods to improve existing models. The individual will test new tools and techniques to build and improve models.
The selected candidate will performs applied statistical research and custom analysis of integrated healthcare data, interprets results, and makes recommendations based on analytic findings to business areas.
In this role, you will investigate and analyze information to identify patterns and visualize trends on customers reported issues and influence our data-driven analytics strategies on the next generation of support systems.
In this role, you will work on problems that cut across all aspects of company's business, including network and service management, marketing and customer care, network design and optimization, and new service creation.
The position will develop advanced analytic solutions to improve consumer engagement, health outcomes and health care costs. Solutions will leverage behavioral economics and analytic insights regarding consumers preferences and needs to develop, implement and measure the impact of interventions across all available touch points with health care consumers.
In this role, the selected candidate will be collaborating with teammates to solve business problems, the data scientist will be using a broad spectrum of data science tools, packages and visualization techniques.