Senior Associate, Data Scientist

Location Designation: Hybrid - 3 days per week 

Business Unit Overview:

At New York Life Direct, you’ll be joining the nation’s #1 direct-to-consumer provider of life insurance. The AARP Life Insurance Program from New York Life is endorsed by AARP and is the only life insurance program developed exclusively for AARP members. Your work will help more Americans achieve greater financial security and peace of mind.

Role Overview:

As a Senior Associate, Data Scientist on the Advanced Analytics team, you will lead and deliver data-driven insights and analytical solutions that support key business initiatives across New York Life Direct. Working as part of a collaborative team, you will apply statistical analysis, experimentation, and machine learning techniques to solve real-world business problems across marketing, underwriting, actuarial, operations, and fraud prevention. In this role, you will independently translate business questions into analytical frameworks, own the delivery of scalable analytics solutions, and contribute to the team’s overall impact.

What You’ll Do:

You will own data science projects and/or key analytical workstreams across the full lifecycle, including problem framing, data exploration, feature engineering, model development, evaluation, and communication of results. You will work be able to work independently but will also have access to a highly collaborative and experienced team to help tackle complex or ambiguous challenges. You will apply statistical and machine learning methods to analyze structured and unstructured data, generating insights that directly inform business decisions and strategies. Working with cross-functional stakeholders, you will proactively define business problems and translate them into analytical approaches, delivering clear, actionable recommendations. You will lead the development, testing, and deployment of models in partnership with engineering teams, applying best practices in model lifecycle management. Additionally, you will identify opportunities to improve processes, enhance model performance, and drive efficiency.

What You’ll Bring:

You bring a strong academic foundation in a quantitative field such as Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related discipline, along with professional experience applying data science or analytics to solve a broad range of business problems. You have working knowledge of programming languages such as Python or R and familiarity with SQL, along with a solid grounding in statistical analysis, machine learning concepts, and data manipulation. You are comfortable working with real-world datasets and can independently translate data into meaningful, actionable insights. You communicate clearly and effectively with both technical and non-technical audiences and can influence stakeholders through data-driven recommendations. You demonstrate sound judgment, attention to detail, and the ability to manage multiple priorities, along with a strong commitment to continuous learning.

Required Skills:

• Master’s degree in a quantitative field (or equivalent experience)
• Typically, 1–3+ years of experience applying data science or analytics in a business or applied setting
• Experience with Python and/or R, and familiarity with SQL
• Strong foundation in statistics, machine learning, and analytical problem-solving
• Demonstrated ability to independently execute end-to-end analytical projects
• Experience working with real-world datasets and delivering actionable insights
• Strong communication skills with the ability to influence both technical and non-technical stakeholders
• Ability to work independently with minimal supervision and manage competing priorities

Preferred Skills:

• Exposure to experimentation, model evaluation, or model monitoring
• Experience in financial services, insurance, or direct-to-consumer businesses
• Familiarity with cloud-based tools and platforms (e.g., AWS, Sagemaker)
• Experience applying generative AI in business settings

Pay Transparency

Salary Range: $80,000-$110,000 

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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Job Requisition ID: 95090