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5 часов назад

Data Scientist (Supply Chain)

100 000 - 132 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
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

Data Scientist (Supply Chain): Developing and deploying machine learning models to forecast demand and optimize inventory for a large-scale educational product portfolio with an accent on time series forecasting and supply chain analytics. Focus on building production-grade data products, collaborating with cross-functional teams, and driving strategic decision-making through advanced data analysis.

Location: Must be based in the United States

Salary: $100,000 - $132,000

Company

hirify.global is a pioneer in K–12 education, providing next-generation curriculum and assessment programs to over 15 million students across the United States.

What you will do

  • Train, test, and deploy machine learning models across the full delivery pipeline.
  • Use advanced data analysis to uncover insights and recommend operational strategies for the supply chain team.
  • Collaborate with analytics engineers and data analysts to build high-quality data products.
  • Contribute to data ingestion, transformation, and analysis workflows.
  • Lead team learning sessions and propose novel architectures to improve data science capabilities.

Requirements

  • Must be based in the United States
  • 2+ years of experience in data science focused on supply chain forecasting or logistics optimization.
  • Expert proficiency in Python and SQL for data analysis.
  • Strong experience with time series forecasting methodologies like SARIMA, Prophet, and xGBoost.
  • Experience deploying models into production environments such as AWS Sagemaker or Databricks.
  • Demonstrated use of software development protocols including git and version control.

Nice to have

  • Experience working with Snowflake.
  • Familiarity with container technologies like Docker and Kubernetes.
  • Background in education or edtech.

Culture & Benefits

  • Comprehensive Total Rewards package including 401(k) plan.
  • Competitive health insurance and mental health options.
  • Paid time off and parental leave.
  • Access to professional development programs.
  • Opportunity to earn an annual discretionary performance bonus.

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