Location Designation: Hybrid - 3 days per quarter
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.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients’ and employees’ needs.
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.
The data scientist will partner with business and operational leaders to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on machine learning (ML)-based projects. The data scientist is responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques. Further, they will support senior leadership by creating business insights, reports, and analyses to aid in the decision-making process.

EDUCATION

• A bachelor’s or master’s degree in computer science, data science, statistics, or a related field
  

  LI-TL2

• 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
• Apples 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