Data Scientist (Supply Chain)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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