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2 часа назад

Senior Data Scientist (Data Science)

11 200 - 12 000$
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

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TL;DR

Senior Data Scientist (Data Science): Performing deep data analysis and supporting forecasting models for supply chain decisions with an accent on statistical analysis, model validation, and performance monitoring. Focus on automating recurring analysis using SQL and Python and building KPI dashboards in Power BI.

Location: Remote (US), candidates must be ready to work on PST time zone

Salary: $70 - $75 an hour

Company

hirify.global is a global digital transformation company specializing in AI and data engineering services.

What you will do

  • Perform deep data analysis to identify trends, anomalies, and forecasting improvement opportunities.
  • Support senior data scientists with model inputs, backtesting, validation, and performance analysis.
  • Monitor forecast accuracy, bias, and overall health of forecasting solutions.
  • Build analytical datasets and develop KPI reporting dashboards using Power BI.
  • Automate recurring analysis and reporting processes using SQL and Python.
  • Collaborate with business teams to translate findings into actionable supply chain decisions.

Requirements

  • 5+ years of experience in data analytics, forecasting analytics, or data science support roles.
  • Must be based in the US and available to work in the PST time zone.
  • Strong expertise in SQL, Python, and advanced data analysis techniques.
  • Strong understanding of statistics, including hypothesis testing, regression, and seasonality.
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Sci-Kit Learn.

Nice to have

  • Experience with Azure or Microsoft Fabric.
  • Experience in the supply chain domain.
  • Familiarity with tools like KubeFlow or BentoML.

Culture & Benefits

  • Remote work flexibility.
  • Direct employment status.
  • Engagement with high-level AI & Data Engineering projects.

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