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20 часов назад

Data Science Analyst (AI)

102 336 - 143 270$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Science Analyst (AI): Analyzing heterogeneous healthcare data and developing predictive models and AI applications with an accent on machine learning, statistical modeling, and data interpretation. Focus on extracting insights from structured and unstructured data, building analytical tools, and presenting findings to clinical and business stakeholders.

Location: Remote within the United States; Rochester, Minnesota

Salary: $102,336–$143,270.40 per year

Company

hirify.global is a healthcare organization focused on patient care, clinical research, and the application of data and AI to improve health outcomes.

What you will do

  • Analyze large, heterogeneous structured and unstructured datasets to identify patterns and insights affecting patient health.
  • Develop predictive models using statistical modeling, machine learning, data mining, regression, neural networks, clustering, and pattern recognition.
  • Create or modify scripts and software applications for data management, extraction, analysis, and AI applications.
  • Collaborate with knowledge architects, informaticians, clinicians, subject matter experts, and external partners to develop and deploy solutions for nontechnical users.
  • Interpret analytical results, prepare reports, and present findings in accessible terms for business and clinical audiences.
  • Provide consultative support, training, and recommendations to departments and project stakeholders.

Requirements

  • Bachelor’s degree in engineering, mathematics, computer science, health science, or another analytical or quantitative field.
  • At least three years of professional or research experience in data science, or a preferred Master’s degree or PhD with relevant data experience.
  • Demonstrated experience developing predictive models with advanced statistical modeling, machine learning, or data mining techniques.
  • Experience with data modeling, data exploration tools, analytical methodologies, statistical packages, and modeling tools.
  • Strong analytical, problem-solving, planning, interpersonal, communication, customer service, and time management skills.
  • Must be authorized to work in the United States; visa sponsorship, visa transfer, and F-1 STEM OPT extension support are not available.

Culture & Benefits

  • Full-time schedule, Monday through Friday, with 80 hours per pay period.
  • Medical, dental, and vision plan options.
  • HSA and FSA pre-tax savings options for eligible expenses.
  • Competitive retirement package and continuing education opportunities.
  • More than 10% travel may be required.

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