Location Designation: [[cust_rolelocationdesignation]]
The Data Scientist will partner with business and technical 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 and developing predictive models to address complex business problems through statistical, algorithmic, mining, and visualization techniques. Furthermore, this role is integral in supporting senior leadership in identifying and 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, high availability and stable systems, and autonomous operations.
Performs large-scale experimentation and builds data-driven models t extractinginsights 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
Collects and preprocesses large amount of structured and unstructured data
Conducts Exploratory Data Analysis to uncover patterns, spot anomalies, and test hypotheses
Applies 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
Skills
Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS
Experience with Tableau and other visualization tools
Knowledge of distributed data/computing tools such as MapReduce, Hadoop, Hive, or Kafka
Solid understanding and experience with model evaluation and tuning techniques
Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
Experience with cloud platforms (e,g, AWS, Azure, Salesforce)
Willingness and ability to learn new technologies on the job
Ability to communicate complex projects, models, and results to a diverse audience including non-technical stakeholders
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
Candidates will ideally have a specialization in ML or AI
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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.
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 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 .
?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.
Job Requisition ID: [[id]]
