New York Life has an active data science community with the opportunity to share one's expertise and to learn from other groups.
The Data Science Academy and Executive Education Program aim to educate employees and executive officers in the field of data science.
The Women in Data Science group provides support to the current crop of women data scientists and encourages women not currently in the field of data science to explore professional and educational opportunities in data science.
CDSAi also hosts numerous talks such as their lunch-and-learn series, as well as twice-yearly half-day data science expos and forums, to communicate the wide range of interesting and challenging data science projects that are conducted throughout the company.
Responsibilities 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 using R or Python, 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.
Validate ongoing data science projects, including coding scripts and summary results for data manipulation/cleaning and modeling.
Challenge existing method adopted in the project with alternatives.
Provide feedback to improve the deliverables.
Teach and explain basic data science concepts and tools to general internal audience.
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 (.
Estimated Salary: $20 to $28 per hour based on qualifications
