Machine Learning Platform Engineer, Corporate Vice President

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Date: Nov 20, 2022

Location: New York, NY, US

Company: New York Life Insurance Co

Location Designation: Hybrid 

 

 

When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

 

 

The Center for Data Science and Artificial Intelligence (CDSAi) is the innovative corporate Analytics group within New York Life. We are a rapidly growing entrepreneurial department which aims to design, create and offer innovative data-driven solutions for many parts of the enterprise. We are aided by New York Life’s existing business with a large market share in individual life insurance. We have the freedom to explore external data sources and new statistical techniques, and are excited about delivering a whole new generation of predictive analytics and artificial intelligence solutions.

 

In fact, we are building one of the first multivariate model-based continuous risk differentiations in the industry. We are also working on models for differentiated advertising allocation by geography, channel and segment. Geographic analytics on agents and customers, application fraud detection, agent success prediction and client prospecting analytics (off-line and on-line) are other exciting examples of enormous incremental value from analytics. Our products are implemented into real-time core business processes and decisions that drive the company (e.g. underwriting, pricing, agent recruiting, prospecting, advertising allocation, new product development).

 

We work with data ranging from demographics, credit and geo data to detailed medical data (medical test results, diagnosis, prescriptions) and social media information. We have a modern computing environment with a solid suite of data science/modeling tools and packages, and a large (but manageable) group of well-trained professionals at various levels to support you. Life insurance is on the verge of huge change. This is a chance to drive the transformation of an industry.

 

The Center for Data Science and Artificial Intelligence (CDSAi) is the 60-person innovative corporate Data Science group within New York Life, led by Chief Analytics Officer Glenn Hofmann (https://www.linkedin.com/in/glennhofmann/). We are a rapidly growing entrepreneurial department which designs, creates, and deploys innovative data-driven solutions for many parts of the enterprise. For more opportunities in data science, please visit our website (https://www.newyorklife.com/careers/corporate/data-science)

 

You will work with data scientists, ML engineers and various technical teams in a highly interactive and integrated environment to apply design, system architecture and support on a range of platforms including our enterprise ML/Ops platform, GIS based systems, custom frameworks and enterprise model monitoring.

 

You will apply your experience designing and system architecture skills to create, support and improve environments and platforms for people with various skill sets to collaborate, build features, build analytics solutions and ensure continual improvements in reliability and maintainability for the platforms.

 

You will apply your communication skills to function as a liaison between data scientists/ML Engineers and various Technology groups.

 

Responsibilities

  1. Provide strategy and guidance for the architecture, build, deployment and governance of platforms to support the CDSAi team of data scientists ML engineers and other advanced analytics teams.
  2. Understand and improve the current platform working with internal stakeholders and technology and apply design and system skills to ensure improvements in reliability of platform are met or exceeded
  3. Build strong relationships and partner with technology stakeholders and within cross functional environment
  4. Provide support for data scientists and ML engineers when required across all applications on platform
  5. Think strategically and work to define overall direction for solving complex business issues.
  6. Proactively address and resolve technical issues to support key business initiatives.
  7. Utilize emerging technologies to address business issues through technical innovation.
  8. Function as platform expert, contribute to analytics/solutions design and implementation decisions
  9. Work independently with some supervision and be part of a collaborative team
  10. Work with Project Managers and Scrum Masters to provide milestones and stories
  11. Proactively and effectively communicate in various verbal and written formats with senior level members of the team and partners

 

Required qualifications

  • Graduate-level degree in computer science, engineering, or relevant experience in the field of Business Intelligence, Data Mining, Database Engineering, Programming
  • 8-10 years of overall experience working in the field of data wrangling and programming with a minimum of 2 year’s experience with ingesting, cleaning, merging and applying necessary data wrangling logic in various data platforms
  • Excellent command of SQL – best practices, optimization, troubleshooting and debugging
  • Strong Knowledge of Enterprise Platforms, Cloud Technology and high performance computing.
  • Experience in AWS
  • Experience in working with microservices, API and event driven architectures
  • Experience in Python
  • Experience with Linux and have a deep understanding of how and when to apply automation
  • Familiar with the requirements of real-time inference
  • Familiar with emerging trends and techniques in ML ecosystem (Featurestore, ML platforms) 

 

Preferred: 

  • Understanding of statistical modeling concepts, designs and analytics-based products
  • Any experience with Kubernetes  
  • Exposure to  Geospatial (GIS) platforms
  • Any experience working with Data Warehouses and/or Data Marts
  • Any experience in Life Insurance Industry

SF:LI-KV1

 

 

Salary range: $115,000-$175,000 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

 

Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.

 

 

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.” To learn more, please visit LinkedIn, our Newsroom and the Careers page of www.NewYorkLife.com.

Job Requisition ID: 87666

 

 

 


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