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Location Designation:\u00a0Hybrid - 3 days per week\u00a0
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Role Overview:
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As a Corporate Vice President, Data Scientist on the Advanced Analytics team you will serve as a strategic thought partner to business leaders across New York Life Direct, driving high-impact initiatives through advanced analytics, machine learning, and data-driven decision making. You will operate as a subject matter expert, shaping the direction of data science applications across marketing, underwriting, actuarial, operations, and fraud prevention. In this role, you will lead the design and development of innovative, scalable solutions, proactively identify opportunities to influence business strategy, and help define the future of data science within the organization. You will work across functions to translate complex business challenges into analytical frameworks, guide solution development, and ensure insights are effectively embedded into decision processes to deliver measurable business value.
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What You\u2019ll Do:
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You will partner closely with senior business stakeholders to identify, prioritize, and shape data science initiatives that align with strategic objectives, proactively uncovering opportunities where advanced analytics can drive meaningful business impact. You will lead complex, high-visibility data science projects end to end, from framing ambiguous problems and defining analytical approaches to developing, deploying, and monitoring scalable machine learning models and data products. Leveraging deep expertise in statistical methods, machine learning, and experimentation, you will solve unique and complex problems, often requiring innovative and conceptual thinking beyond existing approaches. You will influence decision-making by communicating insights and recommendations clearly to both technical and non-technical audiences, including senior leadership. In addition, you will collaborate with engineering and technology teams to operationalize solutions, establish best practices, and enhance model lifecycle management. As a senior member of the team, you will mentor other data scientists, elevate technical standards, and contribute to the development of the team\u2019s capabilities, while staying at the forefront of emerging trends and identifying ways to apply new techniques to advance business outcomes.
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What You\u2019ll Bring:
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You bring advanced academic training in a quantitative field such as Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related discipline, along with significant experience applying data science in complex business environments. You have deep technical expertise in programming languages such as Python or R, strong proficiency in SQL, and a robust foundation in statistical modeling, machine learning, and experimental design. You are recognized for your ability to independently lead large-scale, ambiguous initiatives and to translate complex data into actionable insights that influence strategic decisions. Your experience includes working with large, real-world datasets and deploying models in production environments, ideally within insurance, financial services, or direct-to-consumer contexts. You are an effective communicator who can influence stakeholders at all levels, and you bring a track record of mentoring others, shaping best practices, and driving continuous improvement. Familiarity with cloud-based platforms (e.g., AWS, SageMaker) and model lifecycle management, along with an interest in emerging areas such as generative AI, will further enable you to succeed in this role.
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Required Skills:
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\u2022 Master\u2019s or PhD in quantitative fields such as Data Science, Statistics, Applied Math, Economics, Computer Science, Engineering, or related disciplines
\u2022 5+ years of experience applying data science in a business setting with a Master\u2019s (3+ years for PhD graduates)
\u2022 Strong programming skills in Python and/or R, plus experience with SQL
\u2022 Strong foundation in statistical analysis, machine learning and experimental design
\u2022 Experience working with real-world datasets and translating ambiguous business questions into analytical solutions
\u2022 Strong communication skills, including the ability to explain technical concepts clearly and influence decisions across a range of audiences
\u2022 Ability to work independently, manage multiple priorities, and drive work forward in a collaborative environment
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Preferred Skills:
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\u2022 Experience in insurance, financial services, or direct-to-consumer environments
\u2022 Familiarity with cloud-based tools and platforms (e.g., AWS, Sagemaker)
\u2022 Understanding of model lifecycle management
\u2022 Experience evaluating or applying generative AI in business settings
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Pay Transparency
Salary Range:\u00a0$130,000-$170,000\u00a0
Overtime eligible:\u00a0Exempt\u00a0
Discretionary bonus eligible:\u00a0Yes\u00a0
Sales bonus eligible:\u00a0No\u00a0
Actual base salary will be determined based on several factors but not limited to individual\u2019s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
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Company Overview\u00a0
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.\u00a0
Our diverse business portfolio creates opportunities to make a difference across industries and communities\u2014inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you\u2019ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.\u00a0
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what\u2019s next, and your growth powers it.\u00a0
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Our Benefits
We provide a full package of benefits for employees \u2013 and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.
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Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life\u2019s leadership in this space.\u200b
Recognized as one of Fortune\u2019s World\u2019s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the\u00a0Foundation.\u00a0We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
\u200bVisit 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\u2019 needs.
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Job Requisition ID: 93896
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