Director of Advanced Analytics and Machine Learning

1 day ago

New York, New York, United States New York Life Insurance Company Full time

We are seeking an experienced professional to join our team as a Director of Advanced Analytics and Machine Learning. This is a unique opportunity to contribute to our company's vision of making us an industry leader in generative AI and advanced analytics.

About the Role

This role will be key in driving advanced machine learning and generative AI solutions for real-world business challenges. You will collaborate across teams, serving as a point of reference on AI-related matters, techniques, and innovations, and work closely with data science leaders, businesses, and technology.

This includes:

  • Developing and supporting the growth of generative AI and advanced machine learning practices across the AI & Data organization.
  • Influencing infrastructure, tooling (in partnership with ML Ops and IT), and stakeholder education.
  • Overseeing governance in collaboration with the Model Governance and Legal teams.
  • Manage stakeholders throughout solution design and execution phases to successfully create and deploy advanced AI solutions.

You will have the opportunity to develop and support the growth of generative AI and advanced machine learning practices across the AI & Data organization, influencing infrastructure, tooling, and stakeholder education, and overseeing governance in collaboration with the Model Governance and Legal teams.

About Us

New York Life Insurance Company is recognized as one of Fortune's World's Most Admired Companies. We are committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We operate in the best interests of our policy owners due to our mutuality.

About the Position

The salary range for this position is $132,500-$197,500. The position is exempt from overtime pay, discretionary bonus eligible, and sales bonus ineligible.

What You'll Bring

To be successful in this role, you will need to have:

  • A graduate-level degree in a quantitative discipline (e.g., statistics, computer science, mathematics, engineering, etc.).
  • 4+ years of experience in predictive analytics and machine learning using large, complex datasets.
  • Strong hand-on expertise in parametric statistical modeling techniques (e.g., linear regression, GLM, survival analysis) and non-parametric techniques (e.g., GBM, neural networks, NLP).
  • Proficiency in regularization techniques, feature engineering, validation methods, and performance metrics.
  • Extensive experience with NLP and large language models, including transformers.
  • 2+ years of experience in developing and deploying generative AI solutions, including training, fine-tuning, and prompt engineering.
  • Experience with information retrieval, reinforcement learning, and recommender systems (preferred but not required).
  • Proven experience deploying real-time models into production environments, including model containerization and integration into business processes.
  • Expertise in programming languages such as Python, R, SPARK, SQL, and familiarity with GitHub and software development practices.

As a bonus, experience with insurance or consumer financial data is a plus, but not required. Publications in academic or technical fields are also a plus, but not required.

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