Corporate Vice President, Lead Data Scientist job in New York City, NY| Recruit Arrow
Recruit Arrow
Email Password
Forgot your password?
Welcome, Guest! New User?
Tell a Friend
Success Stories
From my very first contact with Recruit Arrow, through the application process, interviews, and my acceptance of the position, this service was an invaluable asset. My recruiter gave me insight into the company by sharing her own experiences and views.


Job Search

What


 job title, keywords

Where


 city, state, zip






JOB CENTER

Your Window to a World of Opportunities


Welcome to Recruit Arrow's Job Center. We offer you the ability to stay current in numerous specialized job markets, including marketing, advertising, and engineering just to name a few, by subscribing to our Newsletter and Real-Time Job Updates; to subscribe click here.

If you do not yet have an account with Recruit Arrow, we encourage you to sign up for a new account by submitting your resume. An account will allow you to make our search consultants aware of the jobs that you are interested in, view new jobs that match your search settings, modify your search settings, submit a new resume, and take advantage of other useful features.

We are pleased that your assessment of options has led you to Recruit Arrow, and we invite you to browse our website to learn more about our firm and the career opportunities we offer. If you would like to be considered for an professional position, feel free to submit your resume.


Select from the options below to begin your search.


Locations:
(hold down ctrl to choose multiple locations)
City Name:

Primary Field:

Minimum Years of Experience:

Keyword:

1 matches | 1 - 1 displayed 
 1 

Title
Corporate Vice President, Lead Data Scientist
Location : New York, New York City
Refer job # DJLF337571
 
Job Responsibilities and Requirements: Responsibilities Independently leads 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. Shares knowledge within Analytics group. 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. Actively contributes to analytics strategy by contributing ideas, preparing presentation material for internal stakeholders, and product design/business case materials for NYL leadership. 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. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. Travels to events and vendor meetings as needed (< 10%). Required qualifications Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or operations research OR Associateship/Fellowship in one of the Actuarial Societies. 5+ years of experience with statistical modeling using large and complex datasets in a business setting. 3+ years of experience in the insurance industry (life, health or P&C). Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, actuarial, medical, underwriting, Legal, Agency, government relations, etc.) as well as third-party data partners. Strong expertise in statistical modeling techniques such as linear regression, logistic regression, survival analysis, GLM, tree models (Random Forests and GBM), cluster analysis, principal components, feature creation, and validation. Strong expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc.) and validation (hold-outs, CV, bootstrap). Substantial programming experience with almost all of the following: SAS (STAT, macros, EM), R, H2O, Python, SPARK, SQL, other Hadoop. Exposure to GitHub. Experience with data visualization (e.g. R Shiny, Spotfire, Tableau) Proficiency in creating effective and visually appealing PowerPoint presentations.
 
Contact the Following Recruit Arrow Office:
Los Angeles
202 S Lake Ave, Unit 250
Pasadena, California 91101
Email: jobs@recruitarrow.com
 
[Apply Now] [Email to a Colleague] [Permalink]

Tweet This



1 matches | 1 - 1 displayed 
 1 
Newsletter and Job Updates