Data Science Deliveries Design Leader

  • 38049
  • Life - Data Science
  • |
  • New York, United States
  • |
  • Aug 25, 2020
Insurance
RESPONSIBILITIES
  • Leads the Delivery Design function within the Center for Data Science and Artificial Intelligence.
  • Supports several large and high priority data science projects from a delivery design perspective.
  • Utilizes several standard and custom tools to create interactive and captivating objects our internal stakeholders can use to understand our models and data science solutions.
  • Engages with internal stakeholders at multiple levels to uncover their business challenges, motivations and abilities.
  • Engages with the team to learn about their technical solutions and skills.
  • Engages with the Tech team to gain knowledge about the various platforms and tools, and collaborates to deploy/create her/his own delivery solutions.
  • Works collaboratively with project and change managers within Center for Data Science and Artificial Intelligence and on other teams.
  • Supports internal events, expos, lunch & learns, etc. with displays and presentations.
  • Evangelizes the use of data-based decision making and Analytics within the company by active internal partnership management.
  • 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.
  • Contributes ideas and actively participates in proof of concept tests of new processes and technologies.
  • Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects.
  • Travels to events and vendor meetings as needed.
QUALIFICATIONS
  • Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or operations research.
  • 6+ years of experience with predictive analytics using large and complex datasets.
  • Demonstrated experience with data visualization and relevant tools. Experience with developing custom tools beyond the standard packages.
  • Expertise in statistical modeling techniques such as linear regression, logistic regression, survival analysis, GLM, GBM, cluster analysis, principal components, feature creation, and validation.
  • Expertise in regularization techniques, variable selection techniques, feature creation and validation.
  • Substantial programming experience with several of the following: R, Python, SPARK, SQL, Hadoop. Exposure to GitHub.
  • Demonstrated expertise in statistical design of experiments.
  • Demonstrated experience with building creative custom visualizations/digital objects for communicating data science to business stakeholders.
  • Deep understanding of the tools landscape for designing captivating data science deliveries.
  • Consulting experience is a plus.
  • Experience creating visual art pieces semi-professionally is a plus.
  • Health or life insurance experience is a plus.
  • Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills.
  • Demonstrated experience in strategic and analytical leadership. Executive presence on high-level meetings.
  • Proficiency in creating effective and visually appealing PowerPoint presentations.