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Data Scientist (Machine Learning)

72 000 - 120 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
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 Scientist (Machine Learning/Healthcare): Developing and validating machine learning algorithms for a Clinical Decision Support Platform using complex healthcare datasets, with an accent on predictive modeling, exploratory data analysis, and product experimentation. Focus on translating prototypes into production features, analyzing large patient datasets, and applying causal inference and advanced analytics in cross-functional teams.

Location: Remote within the United States; travel 1–20% within the US

Salary: $72,000–$120,000 per year

Company

hirify.global works to transform the healthcare industry through healthcare management, analytics, and technology solutions.

What you will do

  • Design, develop, and validate predictive models and advanced machine learning algorithms for a Clinical Decision Support Platform.
  • Explore complex, high-dimensional healthcare datasets, including electronic health records, claims, billing, purchase order, and invoice data.
  • Translate prototypes into products, services, and features with developers and product engineers.
  • Analyze requirements, design production solutions, and develop features for product backlogs.
  • Conduct experiments, generate and test hypotheses, and interpret analytical results.
  • Share data science practices through presentations, mentoring, training, and collaboration with clinicians, engineers, clients, and leadership.

Requirements

  • At least 2 years of applicable experience.
  • Bachelor’s degree required.
  • Knowledge of statistics, machine learning, artificial intelligence, programming, data modeling, and advanced mathematics.
  • Experience with SQL, R and/or Python and related data science and machine learning libraries.
  • Ability to analyze large-scale datasets and apply the data science lifecycle to generate insights and perform causal inference.
  • Ability to work remotely within the United States and travel 1–20% within the US.

Nice to have

  • Experience with cloud computing environments.
  • Software development experience in an agile environment.
  • Experience with workflow tools such as Luigi or Airflow.
  • Healthcare research experience with large patient datasets.
  • Master’s degree in statistics, bioinformatics, mathematics, public health, data science, economics, engineering, physics, or a related empirical field.

Culture & Benefits

  • Remote working environment with collaboration across multidisciplinary teams.
  • Health, dental, vision, life, and disability insurance.
  • 401(k) retirement program and paid time off.
  • Employee incentive plans, tuition reimbursement, and professional development opportunities.
  • Perks, discounts, and access to on-site and online exercise classes.

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