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Position: Sr. Data Scientist
Institution: Prudential Financial, Inc.
Location: Newark, New Jersey, United States
Duties: 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 (e.g. financial transactional, time-series, text, speech/audio and image); Implement advanced statistical 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
Requirements: Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines; Two to three 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
   
Text: Sr. Data Scientist 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 (e.g. financial transactional, time-series, text, speech/audio and image); Implement advanced statistical 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 Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines; Two to three 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
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