Location Designation: [[cust_rolelocationdesignation]]
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.
Visit ourLinkedIn (https://www.linkedin.com/company/newyorklife/mycompany/) to see how our employees and agents are leading the industry and impacting communities.
Visit ourNewsroom (https://www.newyorklife.com/newsroom) to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth - driving the company's success.
The data scientist will partner with business and operational leaders to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on machine learning (ML)-based projects. The data scientist is responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques. Further, they will support senior leadership by creating business insights, reports, and analyses to aid in the decision-making process.
What You'll Do:
Translates business needs into analytics/reporting requirements to promote high quality code, highly available systems, and autonomous operations.
Performs large-scale experimentation and builds data-driven models provide insights from system logs, cloud platforms, CI/CD pipelines, databases, etc.
Researches and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
Apples statistical analysis and visualization techniques to various data, such as hierarchical clustering, principal components analysis (PCA) machine learning
Designs and conducts data analyses with the highest standard of rigor and scientific accuracy; this includes study design, methodology, algorithms, and statistical modeling
What You'll Bring:
At least six years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization
Proven experience in conducting statistical analysis and building models with advanced scripting languages
Experience leading projects that apply ML and data science to business functions
Specialization in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning, is preferred
Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS
Knowledge of distributed data/computing tools such as MapReduce, Hadoop, Hive, or Kafka
Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
Willingness and ability to learn new technologies on the job
Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding
Ability to work in diverse, cross-functional teams in a dynamic business environment
Superior presentation skills, including storytelling and other techniques to guide and inspire
Education
A bachelor's or master's degree in computer science, data science, statistics, or a related field
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Pay Transparency
Salary Range: [[cust_salaryRangePosting]]
Overtime eligible: [[customString6]]
Discretionary bonus eligible: [[cust_merit]]
Sales bonus eligible: [[stockPackage]]
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 hereto discover more about our comprehensive benefit options or visit ourNYL Benefits Site (https://nylbenefits.com/) .
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 (https://www.newyorklife.com/newsroom/featured-awards) 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 (http://www.newyorklife.com/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 theCareers (https://www.newyorklife.com/about/careers/) page of www.NewYorkLife.com .
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