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Senior Data Scientist

Location
New York City, NY

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**MEMBERS ONLY**SIGN UP NOW***. is the largest mutual life insurance company in the United States. Founded in 1845 and headquartered in New York City, New York Life reported 2017 operating earnings of $2.06 billion. Total assets under management at year end 2017, with affiliates, totaled $586 billion.

 

New York Life holds the highest possible financial strength ratings currently awarded to any life insurer from all four of the major ratings agencies: A.M. Best, A++; Fitch AAA; Moody's Aaa; Standard & Poor's AA+ (Source: Individual independent rating agency commentary as of 8/1/17).

 

Financial strength, integrity and humanity—the values upon which New York Life was founded—have guided the company's decisions and actions for over 170 years.

 

 

Company Description:  Use the standard description, no changes needed

 

The Service Insight and Analytics Team is seeking a Data Scientist to support the New York Life's Customer and Agent Service organization.  Analytical challenges range from solutions for retaining our customer base to optimizing when and how we generate new business leads.

We work with big data ranging from demographics, transactional, external vendor to voice and text data. We are a growing team of talented professionals that aim to design, create and offer innovative data-driven solutions. This is a fantastic opportunity for you to help build out our data science capabilities and partner with other data scientist within NYLife.

You will apply your problem-solving skills to work with internal stakeholders and external vendors to deliver complex analytics projects.

You will apply your data and coding skills to ingest, wrangle and explore external and internal data to gain business insights, prepare data for modeling, build and validate predictive models, and support production deployment of models.

You will apply your Artificial Intelligence skills to work on projects such as sentiment and text/ speech analytics.

Responsibilities

*Contributes to data analysis and modeling projects in Service. This includes data analyses and modeling, reports/presentations and implementation support *Provides technical support, which includes strategic consulting, needs assessments, project scoping and the preparation/presentation of analytical proposals *Collaborate with Service leaders to understand business challenges and devise solutions by using business acumen and mining vast amounts of data to draw insights *Create automated anomaly detection systems and tracks its performance *Utilizes data wrangling tools and advanced statistical/machine learning techniques to create high-performing predictive models and actionable insights to address business objectives and client needs *Assures compliance with privacy requirements during design and implementation of modeling and analysis projects *Actively participates in proof of concept tests of new data, software and technologies. Shares knowledge within the Service Insights Team *Follows industry trends and related data/analytics processes and businesses. Attends conferences, events, and vendor meetings as needed
 
Required Qualifications

*Bachelor's degree required, with Master's degree highly preferred; concentration in statistics, math, economics or engineering *3 - 5 years of experience with statistical modeling using large and complex datasets in business setting *Substantial programming experience with almost all the followings: Python, R, SQL, SAS, Hive/Hadoop *Experience with data visualization (e.g. Tableau), is a plus *Strong machine learning and data wrangling skills *Experience in sentiment analysis, advanced text analytics skills such as applying word embeddings in predictive modeling, a plus *Ability to make statistically informed decisions using linear/logistic regression, cluster analysis and statistical sampling  *Strong verbal and written communications skills *Proficiency in creating effective and visually appealing PowerPoint presentations and presenting to all levels of leadership
 

EOE M/F/D/V

 

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