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Job ID: 33817
Job Openings by Title Data Scientist
Location New York, United States
Position:	Data Scientist

Company:	Insurance

Location:	New York

Job ID:		33817


- Leads and contributes to data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and implementation support.
- Demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits.  Provides technical support, which includes strategic consulting, needs assessments, project scoping and the preparation/presentation of analytical proposals.
- Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions.
- Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with clients and account teams on project/test results, opportunities, questions. Resolves problems and removes obstacles to timely and high-quality project completion.
- Create project milestone plans to ensure projects are completed on time and within budget. Provides high quality ongoing customer support; answering questions, resolving problems and building solutions.
- Follows industry trends in insurance and related data/analytics processes and businesses. Functions as the analytics expert in meetings with other internal areas and external vendors. Actively participates in proof of concept tests of new data, software and technologies. Shares knowledge within Analytics group.
- Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects.
- Travels to events and vendor meetings as needed.


- Master’s degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, quantitative psychology, or operations research and 3 years of relevant industry experience OR Ph.D. with concentration in similar fields, OR Associateship/Fellowship in one of the Actuarial Societies and 5 years of relevant industry experience.
- Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills.
- Substantial programming experience with almost all of the following: SAS, R, H2O, Python, SPARK, SQL, other Hadoop. Exposure to GitHub.
- Strong expertise in statistical modeling techniques such as linear regression, logistic regression, survival analysis, GLM, tree models, cluster analysis, principal components, feature creation, and validation. Strong expertise in regularization techniques, variable selection techniques, feature creation and validation.
- OR Expertise in database systems, ETL/data lineage software, data modeling and data governance.
- Experience with insurance or consumer financial data is a plus.
- Experience with data visualization.
- Proficiency in creating effective and visually appealing PowerPoint presentations.

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