Corporate Vice President - Data Scientist

New York Life • Lebanon, NJ

260d • $122,500 - $210,000

About The Position

Our New York Life culture has laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. Here you become a valued part of a welcoming, inclusive, and caring organization with a long-standing legacy in stability and growth. The strength revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance. As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You will be part of an inclusive team guided by our belief to always be there for each other-providing the support and flexibility to grow and reach new heights while making an impact in the lives of others. You are our future, and we commit to investing in you accordingly. As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth — driving the company's success.

Requirements

• At least six years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization.
• Proven experience in conducting statistical analysis and building models with advanced scripting languages.
• Experience leading projects that apply ML and data science to business functions.
• Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS.
• Knowledge of distributed data/computing tools such as MapReduce, Hadoop, Hive, or Kafka.
• Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models.
• Willingness and ability to learn new technologies on the job.
• Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding.
• Ability to work in diverse, cross-functional teams in a dynamic business environment.
• Superior presentation skills, including storytelling and other techniques to guide and inspire.

Nice To Haves

• Specialization in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning.

Responsibilities

• Translates business needs into analytics/reporting requirements to promote high quality code, highly available systems, and autonomous operations.
• Performs large-scale experimentation and builds data-driven models provide insights from system logs, cloud platforms, CI/CD pipelines, databases, etc.
• Researches and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient.
• Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, principal components analysis (PCA) machine learning.
• Designs and conducts data analyses with the highest standard of rigor and scientific accuracy; this includes study design, methodology, algorithms, and statistical modeling.

Benefits

• Full package of benefits for employees including leave programs, adoption assistance, and student loan repayment programs.
• Annual discretionary bonus eligibility.
• Incentive program participation eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Insurance Carriers and Related Activities
• Education Level: Bachelor's degree