About The Position

As a Data Scientist specializing in Longitudinal and Healthcare data, you will play a pivotal role in building sophisticated risk models that utilize signals derived from our extensive dataset. The successful candidate will initially be engaged on a contract basis, with the potential to transition into a Full-Time Employment (FTE) role based on performance and business needs.

Requirements

  • Proven experience in working with longitudinal data and healthcare analytics.
  • Strong background in data engineering, GCP, and data cloud technologies.
  • Proficiency in handling diverse data types, including images, X-rays, and multi-module data.
  • Extensive experience in machine learning and model tuning, specifically with Longitudinal Latent Modeling (LLM).
  • Excellent communication skills and the ability to collaborate with cross-functional teams.
  • Adept at translating business requirements into actionable insights and data-driven solutions.

Responsibilities

  • Develop and implement advanced machine learning models for risk assessment using 30 years of longitudinal data.
  • Utilize your expertise in Longitudinal and Healthcare data to uncover valuable insights and patterns.
  • Work closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Apply data engineering skills to preprocess and clean large datasets for analysis.
  • Utilize Google Cloud Platform (GCP) and data cloud technologies to manage and analyze data at scale.
  • Read and interpret longitudinal, multi-module data, and demonstrate proficiency in handling diverse data types, including processing images and X-rays.
  • Tune and optimize Longitudinal Latent Modeling (LLM) to enhance model performance.
  • Collaborate with stakeholders to integrate machine learning models into the underwriting process.
  • Stay abreast of industry trends, emerging technologies, and best practices in data science and healthcare analytics.
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