AI Chief Data Scientist
Chicago, IL, USA | Managed Health Care Company
Industry:Insurance - Health & Life
Functions:IT / Information Technology
Job Description:56 people have viewed this job
Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.
Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.
Requires MA/MS in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 3 years’ experience in predictive analytics and advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner or equivalent, or any combination of education and experience which would provide an equivalent background. PhD and experience in the healthcare sector preferred.
1. GitHub, Kaggle (or equivalent) public repository with portfolio of projects developed for school or sample code for experimentation
2.Experience working with data – manipulating data (with Python, R, MatLab, SAS, or similar) and also building analytical models with data (predictive, exploratory, etc.)
3.Passion to experiment and try out different things, desire to be hands on and experimental with work. Good communication skills – ability to explain complex topics with understandable words
5. Willingness to be a team player and collaborate across groups and functions. Willingness to be creative, self-starter and problem solver – don’t wait to be always told what to do, but be curious and willing to explore what can be done and how to solve hard problems