Data Scientist

Location Designation: Hybrid - 3 days per week 

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.

As part of New York Life Direct, you'll join a team revolutionizing the life insurance experience for AARP members. We're the industry leader in direct-to-consumer life insurance, offering streamlined coverage directly to individuals, bypassing traditional agent models. Your work will directly impact lives by making life insurance accessible, affordable, and understandable for millions of Americans.

This position primarily involves a hybrid work schedule - working remotely: Monday & Friday / on site: Tuesday, Wednesday and Thursday. 

Role Overview:

Join New York Life and become part of a company that is committed to doing the right thing. We value innovation, collaboration, inclusivity, and continuous development—for the business and for our people. You’ll be supported with the resources, mentorship, and flexibility to grow your career in meaningful ways. Our hybrid work model reflects our belief in the power of both virtual and in-person collaboration.
Work Schedule: Hybrid—in-office Tuesday through Thursday; remote Monday and Friday.
About the Team: The Data Science team operates as a strategic partner to business units across New York Life Direct. We support initiatives across marketing, underwriting, actuarial, operations, and fraud prevention by delivering tailored analytics, experimentation, and predictive modeling. We thrive on solving impactful, real-world business challenges with data.
Role Overview: We are looking for an early-career Data Scientist to join our team and support the design, development, and delivery of data science solutions that inform business decisions. This is an exciting opportunity to apply your skills in a collaborative, fast-paced environment while learning from experienced team members and contributing to meaningful projects.

What You’ll Do:

• Support data science projects from end to end: data exploration, modeling, and results communication
• Work with statistical and machine learning techniques
• Clean, wrangle, and prepare datasets for analysis using programming and data manipulation tools
• Collaborate with cross-functional teams to understand business problems and deliver data-driven insights
• Present findings through visualizations, reports, and presentations tailored to diverse audiences
• Learn best practices for model development, testing, deployment, and monitoring

What You Bring:

• Master’s degree in a quantitative field such as Data Science, Statistics, Applied Math, Economics, Computer Science, Engineering, or similar
• 1–2 years of experience applying data science methods in a business setting
• Experience with R and/or Python; Experience with SQL
• Solid understanding of statistical methods and predictive modeling
• Ability to work with large and varied datasets
• Strong communication skills and a collaborative mindset
• Curiosity, attention to detail, and eagerness to grow as a data scientist
• Internship or academic project experience in analytics or data science
 

This position primarily involves a hybrid work schedule - working remotely: Monday & Friday / on site: Tuesday, Wednesday and Thursday. 

#LI-KH1
#LI-HYBRID 
 

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Pay Transparency

Salary Range:  $65,000-$85,000 

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.

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.

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Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs.

Job Requisition ID: 91770