Senior Data Scientist, Advanced Analytics

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Date: Oct 8, 2021

Location: New York, NY, US

Company: New York Life Insurance Co

 

When you join New York Life, you’re joining a company that values development, career growth, collaboration, innovation, and diversity & inclusion. We want employees to feel proud about being part of a company that is committed to doing the right thing. Through various resources and programs, you can grow your career while developing personally and professionally.

 

 

 

Do you enjoy problem solving and thrive in an environment where you have freedom and autonomy to develop solutions? Do you love exploring data, searching for “diamond in the rough” insights? Are you an innovative, outside-the-box thinker who is comfortable with each step of the analysis process, from framing the problem and collecting the data to performing the analysis and sharing your findings? Are you eager to be part of transformational initiatives that raise an organization’s profile as an analytic competitor? 

 

If you answered yes to these questions, you might be a great fit for our team. This position reports to the Head of Data Science & Analytics in New York Life’s Retail Annuities (RA) business. As a member of the team, you have the unique opportunity to leverage your data mining and analytics skills to uncover business opportunities and help shape the strategic direction of the Retail Annuities business. We have a wealth of data available at our fingertips, and we are looking for your help to unlock its full potential.   

 

 Responsibilities

In this role you will:

  • Solve complex questions that may require innovative framing, rigorous deep-dives and/or statistical analysis
  • Utilize your data mining and segmentation skills to identify new strategic opportunities for the Retail Annuities business
  • Partner with members of Strategy, Marketing, Sales, Product, and Service to identify their analytical needs, and develop solutions to support them
  • Promote a test & learn strategy by assisting other parts of the RA organization with experimental design, measuring results, and recommending improvements based on your findings
  • Collaborate with other analysts and data scientists within the Retail Annuities analytics team as well as in other analytics departments to share best practices, leverage analytical techniques, and champion an organizational culture where data is central to decision making

 

Qualifications

  • Passion for data, with a curious mindset and a knack for problem solving
  • Highly autonomous, independent and innovative thinker
  • 4+ years of experience in an analytical role, where data analysis is a significant part of job function
  • Experience executing multiple end-to-end analytics projects, with demonstrated ability in each of the following areas:
    • Framing the analysis
    • Sourcing data from the appropriate databases
    • Analyzing data through segmentation, visualizations, and statistical analysis
    • Acquiring insights and developing recommendations
    • Communicating results via presentations and PowerPoint decks
  • Proven experience preparing and building an analysis from large datasets
  • Proficiency with at least one statistical software packages (e.g., R or Python)
  • Proficiency with data querying languages (e.g., SQL or Hive)
  • Excellent communication skills
  • Preferred: Experience with analytic techniques including:     
    • Predictive modeling & supervised learning techniques
    • Statistical analysis (e.g., t-tests, confidence intervals)
    • Experimental design (control groups, sample size calculations)

SF:LI-KV1

 

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 our Foundation. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.” To learn more, please visit LinkedIn, our Newsroom and the Careers page of www.NewYorkLife.com.

Job Requisition ID: 84878

 

 

 


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