Data Scientist Sr

Predictive Modeling Data Scientist

Bachelors +5 or Masters + 3 years of experience. Additionally: Experience with developing recommendation engines is a plus Experience in working in a Healthcare organization or previous projects with healthcare data is a plus Excellent coding skills in Python, SQL, and Bigdata technologies (not R,SAS, or SAS Enterprise Miner)

Responsible for the development and implementation of predictive modeling algorithms and techniques to solve more complex business problems and optimize member experiences.

Primary duties may include but are not limited to: Design and lead predictive modeling projects to address more complex business problems determined by consultation with business partners. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Recommends appropriate batch and real-time model scoring to drive actions. Provides oversight in development of proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop advanced visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides actionable insights to 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. Lead and mentor Data Scientist.

Requires a Bachelor’s degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 5 or more years experience in predictive analytics or equivalent.

Must have 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. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred.