Corporate Vice President, Data Scientist - Advanced Analytics

Corporate Vice President, Data Scientist

• Advanced Analytics New York Life
• 3.6 Tampa, FL Job Details $130,000
• $170,000 a year 5 hours ago Benefits Loan repayment program Adoption assistance Qualifications Doctoral degree in statistics Strategic management Economics Statistics Computer Science Applied Mathematics 5 years Big data Engineering R Amazon SageMaker Mathematics Master's degree SQL Team development Cloud-based systems Ph.

D. in statistics Doctor of Philosophy Model deployment Decision making Statistical modeling Mentoring Master's degree in statistics Data interpretation Experimental design Scalability Financial services Master's degree in computer science Implementing machine learning algorithms Senior level AI Master's degree in engineering Cross-functional collaboration Project leadership Data-driven decision making Communication skills Project stakeholder communication Python Generative AI Cross-functional communication Data Science Stakeholder management Database software proficiency Full Job Description Job Description Requisition

ID 93896

Department NYL Direct Job Function NYL Direct Location Tampa,Florida,United States Role Location Designation Hybrid

• 3 days per week

Location Designation:

Hybrid

• 3 days per week

Role Overview:

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.

What You'll Do:

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's capabilities, while staying at the forefront of emerging trends and identifying ways to apply new techniques to advance business outcomes.

What You'll Bring:

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.

Required Skills:

Master's or PhD in quantitative fields such as Data Science, Statistics, Applied Math, Economics, Computer Science, Engineering, or related disciplines 5+ years of experience applying data science in a business setting with a Master's (3+ years for PhD graduates) Strong programming skills in Python and/or R, plus experience with SQL Strong foundation in statistical analysis, machine learning and experimental design Experience working with real-world datasets and translating ambiguous business questions into analytical solutions Strong communication skills, including the ability to explain technical concepts clearly and influence decisions across a range of audiences Ability to work independently, manage multiple priorities, and drive work forward in a collaborative environment

Preferred Skills:

Experience in insurance, financial services, or direct-to-consumer environments Familiarity with cloud-based tools and platforms (e.g., AWS, Sagemaker) Understanding of model lifecycle management Experience evaluating or applying generative AI in business settings

Pay Transparency Salary Range:

$130,000

• 170,000 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual's 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. Company Overview 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.

Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress. 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's next, and your growth powers it. Our Benefits We provide a full package of benefits for employees

• 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. 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's leadership in this space. 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. To learn more about career opportunities at New York Life, please visit the Careers page of www.

NewYorkLife.com. 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.

Job Requisition ID:

93896