Associate - Data Scientist - Field Agency and Sales Analytics

Location Designation: Hybrid - 3 days per week 

 

When you join New York Life, you are joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You will have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture. 

 

New York Life’s AI and Data team delivers innovative data, insights, and AI solutions for the organization. Our AI team works on a diverse portfolio of AI and GenAI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation to deployment. As it takes multiple skill sets to deliver AI models to production, our AI team includes product managers, data scientists, MLOps engineers, program managers, a model validation & governance group, and a communications & development group. 

 

The Artificial Intelligence and Data (AI & D) Team is the innovative corporate data and analytics group within New York Life. We are a rapidly growing entrepreneurial department charged with the design and creation of innovative data-driven solutions for many parts of the enterprise. We have the freedom to explore external data sources and new techniques and are delivering exciting next generation solutions.   

 

The role reports to AI lead of Field Productivity and Field Operations Value Streams. A good understanding of predictive analytics (including the process of building and deploying models) and technology is essential. 

 

What You’ll Do:

 

• Leads and contributes to data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and implementation support. 

• Demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits. Provides technical support, which includes strategic consulting, needs assessments, project scoping and the preparation/presentation of analytical proposals. 

• Utilizes advanced statistical and machine learning techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Tests new statistical and machine learning analysis methods, software and data sources for continual improvement of quantitative solutions. 

• Implements analytical models into production by collaborating with technology and operation teams. Utilizes proper data visualization tools for model testing, modeling results and data patterns exhibition. Design performance metrics for model selection and performance monitoring. 

• Utilizes data wrangling/data matching/ETL techniques while programming in several languages to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets. Deploys analytical solution in production systems. 

• Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with clients and account teams on project/test results, opportunities, questions. Resolves problems and removes obstacles to timely and high-quality project completion. 

• Creates project milestone plans to ensure projects are completed on time and within budget. Provides high quality ongoing customer support (e.g., answering questions, resolving problems and building solutions). 

• Follows industry trends in insurance and related data/analytics processes and businesses. Functions as the analytics expert in meetings with other internal areas and external vendors. Actively participates in proof-of-concept tests of new data, software and technologies. Shares knowledge within Analytics group. 

• Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. 

• Travels to events and vendor meetings as needed (< 10%).  

 

What You’ll Bring:

 

• Master’s degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics or operations research OR Bachelor’s degree with concentration in similar fields and 1-3 years of relevant industry experience  

• 1+ years of hands-on experience in coding and predictive modeling using large and complex datasets in a business setting. Working knowledge of GitHub. 

• Demonstrated capability to develop and deploy data science solutions and create values with limited guidance. 

• Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, actuarial, medical, underwriting, Legal, Agency, government relations, etc.) as well as third-party data partners. 

• Demonstrated experience in strategic and analytical leadership. Executive presence in higher-level meetings. Credible functional expertise in predictive analytics. 

• Substantial programming experience with Python, R, SQL, and Spark. Experience with data wrangling, data matching, and ETL techniques while programming in several languages (Python, R, SQL and Spark) to extract and transform data from a variety of data sources (Oracle, SQL, Hadoop). 

• Strong expertise in statistical modeling and machine learning techniques such as linear regression, logistic regression and other Generalized Linear Models (GLMs), survival analysis, tree models (Random Forest, GBM, XGBoost), cluster analysis, principal components. Strong expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc.) and validation (hold-outs, CV, bootstrap).  Experience with data visualization (e.g. R Shiny, Tableau, Spotfire). 

• Deep statistical knowledge is a plus. 

• Experience with insurance or consumer financial data is a plus. 

• Experience using open-source tools and libraries for Natural Language Processing, entity recognition, topic identification, and Regular Expression is a plus. 

 

 #LI-TL2

 

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Pay Transparency

Salary Range:  $65,000-$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 Diversity Promise

We believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture. Click here to learn more about how we have been recognized for our leadership.

 

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: 91516