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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, New York, Senior Associate, Data Scientist , Insurance, New York, NY, New York

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