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9 дней назад

Manager, AI and Data Science

131 900 - 237 400$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US/Georgia/Washington
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
Manager, AI and Data Science (AI/ML and healthcare): Leading teams developing and validating AI/ML models and data-driven solutions for complex healthcare challenges with an accent on experimentation, model monitoring, responsible AI, and productionization. Focus on building high-performing scientific teams, developing generative AI and RAG prototypes, and translating research into scalable, measurable business outcomes.

Location: Telecommuter, working from home; hiring is limited to specified U.S. states

Salary: $131,900–$237,400 national range; $150,300–$270,500 national plus range for higher-cost labor markets.

Company

hirify.global is a healthcare organization using AI and data science to improve healthcare decision-making and customer outcomes.

What you will do

  • Build and lead a team of data scientists, machine learning scientists, and experimental engineers.
  • Guide the development, prototyping, testing, and validation of AI/ML models for complex healthcare challenges.
  • Oversee model performance monitoring, drift detection, retraining strategies, and production reliability.
  • Promote reproducible experimentation, peer review, responsible AI, fairness, and explainability.
  • Partner with business, analytical, and technical stakeholders to evaluate impact and translate scientific concepts into decisions.
  • Mentor team members and establish documentation, agile experimentation, and continuous learning practices.

Requirements

  • Bachelor’s degree in computer science, statistics, mathematics, or a related quantitative field, or equivalent professional experience.
  • At least 2 years leading analytical or scientific teams and 5 years developing and validating AI/ML solutions and conducting quantitative analytics.
  • Experience with Python data science libraries, statistical analysis, supervised and unsupervised learning, deep learning, and generative AI.
  • Experience with SQL, MLOps frameworks, model monitoring, productionization, experimentation, and iterative development.
  • Experience with healthcare and healthcare data, responsible AI practices, and cross-functional collaboration.
  • Applicants must be located in one of the listed U.S. states.

Nice to have

  • Master’s or PhD in a quantitative, computational, or scientific field.
  • Experience with NumPy, Pandas, Matplotlib, scikit-learn, SHAP, LIME, Statsmodels, PyMC3, XGBoost, LightGBM, Hugging Face Transformers, or spaCy.
  • Experience with TensorFlow, PyTorch, Keras, microservices, distributed computing, and container orchestration.
  • Experience managing academic or industry research partnerships.

Culture & Benefits

  • Medical, vision, and dental coverage with low employee premiums.
  • 401(k) employer match, pension plan, life and disability insurance, and wellness resources.
  • Paid time off, tuition assistance, and employee recognition programs.
  • Culture focused on collaboration, innovation, continuous development, and meaningful healthcare impact.

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