Principal Data Scientist

Our Client is the largest mutual life insurance company in the United States. Founded in 1845,  it is headquartered in New York City, maintains offices in all fifty states, and owns Seguros Monterrey in Mexico.

You will apply your data-based marketing expertise and problem-solving skills to work with internal stakeholders and external vendors to deliver complex analytics projects.

You will apply your data and coding skills to ingest, wrangle and explore external and internal data to gain business insights, prepare data for modeling, build and validate predictive models, and support production deployment of models.



  1. Independently leads data analysis and modeling project in marketing areas. This includes business requirements gathering, solution proposal, client buy-in, data reception and processing, analysis and modeling, reports/presentations, review with stakeholder, and implementation support
  2. Proactively 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
  3. Mentor/advise Sr Data Scientists on different data wrangling tools and advanced statistical/machine learning techniques to improve predictive models and create actionable insights to address business objectives and client needs
  4. Leads analytical innovation efforts to test and recommend new advanced analytical methods, software and data sources. Shares knowledge and trains others on its adoption within Analytics group

Required qualifications


  • Master’s or PhD degree in quantitative studies such as statistics, math, economics, operation research, data science, computer science, engineering
  • 5+ years of experience with statistical modeling using large and complex datasets in business setting
  • 3+ years of experience in the insurance industry (life, health or P&C) or in data-based marketing areas
  • Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills
  • Strong expertise in statistical modeling techniques such as linear regression, logistic regression, survival analysis, GLM, tree models (Random Forests and GBM), cluster analysis, principal components, feature creation, and validation
  • Strong expertise in statistical sampling, regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation and transformation, and model validation (hold-outs, CV, bootstrap)
  • Strong expertise in data pull and manipulation in database systems (Oracle, Hadoop, etc.). Solid understanding of data model and data governance
  • Strong expertise in data pull and manipulation in database systems (Oracle, Hadoop, etc.). Solid understanding of data model and data governance
  • Substantial programming experience with almost all the followings: SAS (STAT, macros, EM), R, H2O, Python, SPARK, SQL, Hive/Hadoop. Familiar with Git version control tool
  • Experience with data visualization (e.g. R Shiny, Tableau)
  • Proficiency in creating effective and visually appealing PowerPoint presentations

Location: Manhattan, NY

Salary: $150,000 – 160,000

Please email your resume to or call us on 646 661 2971

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