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1 день назад

Data Scientist II (AI/ML)

145 000 - 165 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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 II (AI/ML): Building machine learning solutions to optimize the hirify.global platform and internal operations with an accent on algorithms, experimentation, and production deployment at scale. Focus on empirically exploring novel data sets, improving predictive algorithms, and communicating complex findings to stakeholders.

Location: Remote (United States)

Salary: $145,000 – $165,000 per year

Company

hirify.global is an outcomes-focused learning company dedicated to improving K-12 learning environments with award-winning solutions.

What you will do

  • Collaborate across teams to implement data science and machine learning solutions.
  • Communicate methods and findings with stakeholders through reports, presentations, and dashboards.
  • Build and deploy machine learning models as production services at scale.
  • Extract and transform data in a reliable, repeatable manner.
  • Empirically explore novel data sets and identify opportunities to improve predictive algorithms.
  • Build tooling to support efforts such as unit testing, automated deployment testing, and model performance tracking.

Requirements

  • Advanced education (PhD or Master’s), preferably in a quantitative field.
  • 4-5 years of professional work experience or commensurate academic research experience.
  • Experience applying data science solutions to deliver impactful results.
  • Outstanding ability to communicate complex findings to stakeholders.
  • Advanced skills in Python.
  • Natural Language Processing experience.
  • Experience working in cloud computing (preferred AWS and Databricks).
  • Plenty of experience with traditional statistics and ML approaches.
  • Familiarity with Deep Learning methods and libraries (e.g. transformers, PyTorch).
  • Experience with collaborative development (e.g. in GitHub).

Nice to have

  • Experience with Docker/containerized workflow.
  • Experience with Generative AI/building LLM-powered applications.
  • Experience with MLOps and/or LLMOps.
  • Experience in the education space.

Culture & Benefits

  • Competitive pay, complete health insurance, 401(k) matching, and an employee equity plan.
  • Flexible time off, paid holidays, paid parental leave, and a paid year-end holiday break.
  • Work from home funds, fertility & adoption reimbursement.
  • A varied and challenging role in an innovative, global company with supportive, driven colleagues.

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