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Job ID: 39402
Job Openings by Title Data Scientist
Location New Jersey, United States
Position: Data Scientist

Company: Insurance				
Location: New Jersey
Job ID: 39402
-Develop and maintain consultative relationships with key business stakeholders
-Identify, source, transform and join public, proprietary and internal data sources
-Model large structured and unstructured data sources 
-Implement advanced statistical methods for prediction and optimization including a wide variety of machine learning technologies for purposes including explorative analysis, survival analysis, segmentation, prediction and recommendation systems
-Perform analysis and implement solutions that maximize business impact
-Prepare and present written and verbal reports to key stakeholders
-Execute all aspects of an advanced analytical project under guidance

-Advanced degree (Masters or Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines
-Master’s degree graduates should additionally have at least two years of industry experience with responsibility for developing advanced quantitative, analytical, statistical solutions
-Hands-on experience applying a wide variety of statistical machine learning techniques to real world problems spanning analysis, predictive modeling and optimization on structured and unstructured data
-Experience using tools such as Python, R, or equivalent for statistical modeling of large data sets
-Well-developed written and oral communication skills with ability to present complex statistical concepts to non-analytical stakeholders (Excel, Word and PowerPoint are a must)
-Software engineering experience in C/C++/C#/Java/Scala or similar object oriented or functional languages is highly regarded but not a prerequisite
-M.B.A. when combined with advanced quantitative degree is highly regarded but not a prerequisite
-Prior academic or industry research experience is highly regarded but not a prerequisite
-Prior exposure to financial services or insurance industry may be helpful but is not a prerequisite
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