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Data Scientist II | Scientist in Science & Pharmaceutical Job in Quincy MA | 7233051930

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Data Scientist II

Location:
Quincy, MA
Description:

Job Title: Data Scientist IIJob Site: 1100 Crown Colony Drive, Quincy, MA 02169 Job Duties: Responsible for designing, constructing and implementing predictive and prescriptive models across personal and commercial lines of insurance using statistical techniques, machine learning and data analysis. Duties include: Design, construct and implement predictive models using GLM, RF, GBM, SVM and other statistical techniques; Develop unsupervised machine learning models for anomaly detection, clustering, topic modeling and variable reduction; Leverage big data technology to extract insights from unstructured and semi-structured data including text analytics and data visualization; Collaborate with modeling analysts and data scientists to aggregate, transform and analyze data for predictive modeling projects; Work closely with subject matter experts to solve business problems and effectively communicate findings; Contribute to modeling best practices including model selection, validation and monitoring; Develop pricing plans and contribute to product design and research strategies; Conduct research to explore statistical techniques and application to the business; and prepare written and oral reports to communicate findings and recommendations to stakeholders; Keep abreast of emerging advanced modeling techniques, industry trends, and advancements in data science, predictive analytics and actuarial science; and Collaborate with cross-functional teams during high-level company project teams. Minimum Requirements:Masters degree or foreign equivalent in Statistics, Applied Statistics, Mathematics, Actuarial Science or related field and 2 years of statistics modeling experience within the Property & Casualty Insurance Industry. Experience must include: 2 years pricing analysis experience within the Property & Casualty Insurance Industry; 2 years of risk analysis and risk management experience within the Property & Casualty Insurance Industry; 2 years of experience using advanced statistical techniques including GLM, RF, GBM and SVM; 2 years of experience using programming languages such as SAS, R, Python and SQL; 2 years of experience in API integration; 2 years of experience using database principles and working with large datasets; 2 years of experience using insurance data to understand data distributions and appropriate transformations. Experience may be gained concurrently.
Posted:
April 10 on Jobvertise
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