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Senior Associate, Data Scientist

Company: New York Life Insurance Company
Location: New York, NY
Posted on: March 25, 2017

Job Description:

This posting covers multiple openings for the position described.

Provide quantitative and data science driven insights and actionable

results that underlie strategic decision making across all business areas.

Initiate and engage in meetings with business partners to discuss business

challenges and establish long-term goals while serving as an expert

representative of data science center of excellence within the firm. Serve

as analytical project lead to spear head innovative quantitative and

advanced analytical solutions to complex business problems by utilizing a

diverse set of traditional and modern statistical predictive modeling,

pattern recognition and machine learning methodologies. Mentor

junior/intern in analytical projects. Serve as instructor of statistical

tool learning series to keep firm wide analytics community abreast with the

latest statistical tools and techniques. Research, develop, implement, and

take ownership of predictive models, independently perform statistical

analyses and "deep dives" into the data, and present and discuss solutions

as a statistics subject matter expert with business partners. Regularly

present at firm wide analytics community forums and lead periodic

discussions on analytical project insights and solutions as well as on new

software and methodologies evaluation findings. Utilize statistical

software such as R, Python, or SAS to develop high-performing statistical

models and algorithms on a variety of high-dimensional datasets with

varying sizes and proportion to outcome variables from various data

sources. Meet with business partners to discuss business challenges and

establish long-term goals. Design innovative analytic solutions to complex

business problems by utilizing a diverse set of statistical modeling

tools. Develop predictive models, conduct research, and perform

statistical analyses and "deep dives" into the data. Present and discuss

solutions with business partners, evaluate new software and methodologies,

and present results to the team. Utilize statistical software such as R,

Python, or SAS to develop statistical models and algorithms on a variety of

datasets with varying sizes and proportion to outcome variables.

Requirements: Master's degree in statistics, mathematics, bioinformatics or

a related analytical field (willing to accept foreign education equivalent)

plus 4 years of experience performing advanced data analytics or,

alternatively, a Doctorate (Ph.D.) degree and no experience. Also

requires: (1) Demonstrated expertise utilizing SAS and R to conduct data

analytics, including predictive analytics and data mining; (2) Demonstrated

expertise performing data extraction, cleaning and analysis from Excel and

raw text files to perform data analytics; (3) Demonstrated expertise

utilizing big data tools to access and extract cloud-based data;(4)

Demonstrated expertise performing data modeling using advanced statistical

techniques such as generalized linear model, mixed effects model, and

Bayesian mixture model on high-dimensional data for applications in

bioinformatics; (5) Demonstrated expertise presenting data results to

technical and non-technical audiences, using PowerPoint, Excel and data

visualization tools to prepare reports; (6) Demonstrated expertise

performing data analytics and analysis in a corporate environment; and, (7)

Demonstrated expertise communicating and working with non-technical

audiences to advise non-technical audiences on statistical matters.

*Expertise may be gained during graduate or doctoral degree program.

Apply online at http://www.newyorklife.com/careers

Keywords: New York Life Insurance Company, Stratford , Senior Associate, Data Scientist , Insurance , New York, NY, Connecticut


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