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6 часов назад

Data Scientist (Machine Learning)

Формат работы
onsite
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 (Machine Learning): Applying statistical, machine learning, and econometric models to large datasets to measure outcomes, identify causal impacts, predict performance, and shape product strategy with an accent on experimentation, metrics, and scalable data science solutions. Focus on designing complex models from ideation to production, interpreting experiments, improving data sources, and influencing high-impact decisions.

Location: Campbell, California, United States; on-site

Company

hirify.global develops products supported by data-driven product strategy and scientific analysis.

What you will do

  • Partner with Product, Engineering, Marketing, Sales, Finance, and Data Science teams to shape product strategy.
  • Apply statistical, machine learning, and econometric models to large datasets.
  • Measure outcomes, identify causal impacts and attribution, and predict future user or product performance.
  • Design, implement, and launch data science solutions at scale.
  • Design, analyze, and interpret experiments while developing product metrics and observability.
  • Drive data collection and refinement, and create analyses that support data-driven decisions.

Requirements

  • 5+ years of data science experience with a record of thought leadership and innovation.
  • PhD or MS in a quantitative field such as Engineering, Mathematics, Natural Sciences, or Economics.
  • Expert knowledge of Python or R and SQL.
  • Theoretical and applied expertise in statistics, machine learning, and experimental design.
  • Experience designing and implementing complex modeling solutions from ideation to production at scale.
  • Excellent written and verbal communication, influencing, project management, and organizational skills.

Culture & Benefits

  • Cross-functional collaboration across product, engineering, commercial, finance, and data science teams.
  • On-site work in Campbell, California.

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