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Position: Manager, Data Scientist
Institution: Prudential Financial, Inc.
Location: Newark, New Jersey, United States
Duties: Design and develop advanced statistical and analytics methods for prediction and optimization including a wide variety of machine learning technologies (logit, regression, decision trees/forests, boosted models, clustering, etc.) for purposes including explorative analysis, survival analysis, segmentation, prediction and recommendation systems; Identify, source, transform and join public, proprietary and internal data sources. Model large structured and unstructured data sources (e.g. financial transactional, time-series, text, speech/audio and image); Perform analysis and implement software solutions that maximize business impact; Oversee the creation, implementation, and delivery of an end-to-end technical solution for a data science project by guiding technical staff
Requirements: Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines; Three plus years of relevant 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
   
Text: Manager, Data Scientist Design and develop advanced statistical and analytics methods for prediction and optimization including a wide variety of machine learning technologies (logit, regression, decision trees/forests, boosted models, clustering, etc.) for purposes including explorative analysis, survival analysis, segmentation, prediction and recommendation systems; Identify, source, transform and join public, proprietary and internal data sources. Model large structured and unstructured data sources (e.g. financial transactional, time-series, text, speech/audio and image); Perform analysis and implement software solutions that maximize business impact; Oversee the creation, implementation, and delivery of an end-to-end technical solution for a data science project by guiding technical staff Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines; Three plus years of relevant 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
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