Job Description:
Our client, the nation's only company exclusively insuring the jewelry industry is hiring for a Data Scientist! The Data Scientist will work with the Actuarial, Product, Underwriting, Digital, Marketing, Media and Technology teams to develop in-depth research that reveals key insights that drive the strategic direction of our corporate initiatives. This position will be responsible for solving important business problems through data mining and statistical analysis while providing insights to guide optimization and execution. The Data Scientist will provide analytical leadership around improving the customer experience through our various platforms and customer touchpoints. Analytical and critical thinker with a high attention to detail and an ability to communicate complex concepts to a non-technical audience Demonstrated experience solving business problems using advanced analytics Strong statistical skills covering techniques such as multivariate analysis, generalized linear and nonlinear modeling, logistic, machine learning, text mining and NLP Confident in data wrangling to create research datasets and execute predictive models Solid understanding of statistical and data tools such as MS Excel, SQL, Tableau, R, SAS, Python, and any open source application Participates in strategic thinking regarding the design of analytic roadmaps Comfortable leading from conceptual design to implementation Familiarity with the intersection of Big data environments and analytics such as data lake construction, Hadoop applications, cloud deployment, MS Azure, and miscellaneous open source applications that enhance data and analytic integration Education/Computer Skills/Experience:
Additional Info:
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Our client, the nation's only company exclusively insuring the jewelry industry is hiring for a Data Scientist! The Data Scientist will work with the Actuarial, Product, Underwriting, Digital, Marketing, Media and Technology teams to develop in-depth research that reveals key insights that drive the strategic direction of our corporate initiatives. This position will be responsible for solving important business problems through data mining and statistical analysis while providing insights to guide optimization and execution. The Data Scientist will provide analytical leadership around improving the customer experience through our various platforms and customer touchpoints. Analytical and critical thinker with a high attention to detail and an ability to communicate complex concepts to a non-technical audience Demonstrated experience solving business problems using advanced analytics Strong statistical skills covering techniques such as multivariate analysis, generalized linear and nonlinear modeling, logistic, machine learning, text mining and NLP Confident in data wrangling to create research datasets and execute predictive models Solid understanding of statistical and data tools such as MS Excel, SQL, Tableau, R, SAS, Python, and any open source application Participates in strategic thinking regarding the design of analytic roadmaps Comfortable leading from conceptual design to implementation Familiarity with the intersection of Big data environments and analytics such as data lake construction, Hadoop applications, cloud deployment, MS Azure, and miscellaneous open source applications that enhance data and analytic integration Education/Computer Skills/Experience:
- Masters, PhD, or equivalent experience in a quantitative field (computer science, physics, mathematics, statistics, engineering, bioinformatics, etc.) with an emphasis on predictive modeling.
- 4+ years of professional experience in an analytical role. No actuarial exams required.
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
- Master's Degree in Engineering
Skills :
- Data Mining
- Machine Learning
- Modeling
- Multivariate Analysis
- Programing in Python
- Programming in R
- Programming in SAS
- SQL
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]