Data Scientist II

Company: Sundayy

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-07-07

About this role

About The Company
Red Pulley Technology Solutions, Inc. is a leading provider of innovative technology and consulting services dedicated to supporting critical government and healthcare missions. With a focus on delivering high-quality solutions, the company specializes in enterprise IT, data analytics, and professional services tailored to meet the unique needs of federal agencies. Committed to fostering a diverse and inclusive workforce, Red Pulley Technology Solutions strives to empower its employees to achieve excellence while contributing to impactful projects that enhance public health and safety.


About The Role
Red Pulley Technology Solutions is seeking a highly skilled Health IT Data Scientist II to join our team supporting the ICE Health Service Corps (IHSC) Health Information Technology Unit (HITU). This full-time, remote position is based in the Washington, DC Metro Area and is contingent upon contract award. The role involves applying advanced statistical, predictive, and exploratory analytic techniques to complex healthcare and operational data. The primary objective is to generate actionable insights that inform strategic planning, performance monitoring, and evidence-based decision-making within the healthcare domain. All development, configuration, and implementation activities are performed within authorized government-managed platforms, adhering to strict oversight, security, and privacy standards. The successful candidate will collaborate with cross-functional teams, including Data Engineers, to operationalize analytic models and support high-priority analytical requests for senior leadership.


Qualifications

  • Advanced degree or equivalent experience in Data Science, Statistics, or a related quantitative field
  • Extensive expertise in applying statistical, predictive, and exploratory analytics to healthcare and operational data
  • Proven experience designing and implementing data models, forecasts, and analytic methodologie...

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