Lead Data Scientist - Marketing specialist
Location Manhattan, New York, NY, USA
Consultant Christopher Dixon
JobRef 122692/0012019-09-11 2019-11-10 insurance permanent US Manhattan New York 10016 USD 140000 175000 175000 YEAR Robert Walters https://www.robertwalters-usa.com https://www.robertwalters-usa.com/content/dam/robert-walters/global/images/logos/web-logos/square-logo.png
My client are an industry leading insurance business based in Manhattan, they are seeking a Lead Data Scientist to independently lead data analysis and modeling projects as part of their center for Data Science and Analytics. The group is responsible for innovation within data driven solutions for for corporate analytics ranging from mortality risk to consumer analytics and fraud detection.
The successful candidate will have 3-5 years industry experience using large data sets and utilising Machine learning and a track record of executing end to end modeling life cycles. They will also have strong programming experience with one or more of the following: Python, R, H20, Spark, SQL, and have previous experience of using the Hadoop toolkit.
As well as this they will also have a academic qualifications in a quantitative discipline and experience with data visulisation tools e.g. shiny, Spotfire, Tableu.
Previous experience within digital marketing is preferred but not essential.
The role will be focused on driving the use of data-based decision making and analytics for the group and utilizing advanced statistical and machine learning techniques to create high performing models to address key business objectives and client needs. This work falls within the businesses marketing division which discovers insights that include prospecting and micro-targeting and lead generation.
The successful candidate will work independently and create project milestones to ensure timely completion within budget. They will also test new statistical analysis methods, software and data sources for continual improvement of quantitative solutions.